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Welcome to the Temporal Histories of Your Medical Event (THYME) project (THYME is pronounced [taim]).
 
Welcome to the Temporal Histories of Your Medical Event (THYME) project (THYME is pronounced [taim]).
  
The overarching long-term vision of our research is to create novel technologies for processing clinical free text. Such technologies will enable sophisticated and efficient indexing, retrieval and data mining over the ever increasing amounts of electronic clinical data. Processing free text poses a number of challenges to which the fields of Artificial intelligence, natural language processing and computer science in general have made advances. Methods for processing free text are informed by linguistic theory combined with the power of statistical inferencing. A key component to the next step, natural language understanding, is discovering events and their relations on a timeline. Temporal relations are of prime importance in biomedicine as they are intrinsically linked to diseases, signs and symptoms, and treatments. Understanding the timeline of clinically relevant events is key to the next generation of translational research where the importance of generalizing over large amounts of data holds the promise of deciphering biomedical puzzles.  
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The overarching long-term vision of our research is to create novel technologies for processing clinical free text. Such technologies will enable sophisticated and efficient indexing, retrieval and data mining over the ever increasing amounts of electronic clinical data. Processing free text poses a number of challenges to which the fields of Artificial intelligence, natural language processing and computer science in general have made advances. Methods for processing free text are informed by linguistic theory combined with the power of modern machine learning. A key component to the next step, natural language understanding, is discovering events and their relations on a timeline. Temporal relations are of prime importance in biomedicine as they are intrinsically linked to diseases, signs and symptoms, and treatments. Understanding the timeline of clinically relevant events is key to the next generation of translational research where the importance of generalizing over large amounts of data holds the promise of deciphering biomedical puzzles.  
  
 
The best methods have been/will be released as part of the cTAKES (ctakes.apache.org) for the larger community to use and contribute to. We will test the methods against biomedical queries.
 
The best methods have been/will be released as part of the cTAKES (ctakes.apache.org) for the larger community to use and contribute to. We will test the methods against biomedical queries.
  
 
== Funding ==
 
== Funding ==
Phase 1 of the project (2010-2014) was supported in part by the i2b2 project (U54LM008748 from the National Library of Medicine) and THYME R01LM010090 from the National Library Of Medicine.  
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Phase 1 of the project (2010-2014) was supported by THYME R01LM010090 from the National Library Of Medicine and in part by the i2b2 project (U54LM008748 from the National Library of Medicine).
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Phase 2 (2015-2018) and Phase 3 (2019-2023) are supported by THYME R01LM010090 from the National Library Of Medicine.
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The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Library Of Medicine or the National Institutes of Health.
  
Phase 2 (2015-2018) is supported by THYME R01LM010090 from the National Library Of Medicine. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Library Of Medicine or the National Institutes of Health.
 
  
 
== Who We Are ==
 
== Who We Are ==
 
* Boston Childrens Hospital/Harvard Medical School
 
* Boston Childrens Hospital/Harvard Medical School
 
** Guergana Savova (MPI)
 
** Guergana Savova (MPI)
** Dmitriy Dligach
 
 
** Timothy Miller
 
** Timothy Miller
 
** Sean Finan
 
** Sean Finan
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** David Harris
 
** David Harris
  
* University of Colorado
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* University of Colorado -- Boulder
 
** Martha Palmer (MPI)
 
** Martha Palmer (MPI)
 
** Jim Martin
 
** Jim Martin
** Wayne Ward
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** Kristin Wright-Bettner
** Jordan Boyd-Graber
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** a small army of Lingustics and Computer Science graduate students
** Will Styler
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** past -- Wayne Ward, Jordan Boyd-Graber, Will Styler III, Arrick Lanfranchi (through August, 2012), Tim O'Gorman, Kevin Crooks (through December 2013), Mariah Hamang, Jinho Cho
** Arrick Lanfranchi (through August, 2012)
 
** Tim O'Gorman
 
** Kevin Crooks (through December 2013)
 
** Mariah Hamang
 
** and several Lingustics and Computer Science graduate students
 
  
* University of Alabama, Burmingham
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* University of Arizona
 
** Steven Bethard
 
** Steven Bethard
 
** graduate students
 
** graduate students
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* Loyola University Chicago
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** Dmitriy Dligach
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** graduate students
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* University of Minnesota
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** Piet de Groen
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* University of Alabama, Birmingham
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** John Osborne
  
 
* Mayo Clinic
 
* Mayo Clinic
** Piet de Groen
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** past -- Piet de Groen, Brad Erickson, James Masanz (through July, 2015), Donna Ihrke (through December, 2012), Pauline Funk (through January, 2013)
** Brad Erickson
 
** James Masanz (through July, 2015)
 
** Donna Ihrke (through December, 2012)
 
** Pauline Funk (through January, 2013)
 
  
 
* Brandeis University
 
* Brandeis University
 
** James Pustejovsky
 
** James Pustejovsky
 +
  
 
== Publications and presentations crediting THYME ==
 
== Publications and presentations crediting THYME ==
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=== 2021 ===
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* Lin, Chen, Timothy Miller, Dmitriy Dligach, Steven Bethard, and Guergana Savova. "EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain." In Proceedings of the 20th Workshop on Biomedical Language Processing, pp. 191-201. 2021.
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* Kulshrestha S, Dligach D, Joyce C, Baker MS, Gonzalez R, O’Rourke AP, Glazer JM, Stey A, Kruser JM, Churpek MM, Afshar M. Comparison and Interpretability of Machine Learning Models to Predict Severity of Injury. JAMIA Open. 2021.
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* Savova, Guergana . 2021. “Natural Language Processing for Biomedicine”. Informatics and Implementation Science Learning Series (I2S2). April 2021. Brown University, RI
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=== 2020 ===
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* Ahuja, Y. et al. Leveraging electronic health records data to predict multiple sclerosis disease activity. Ann. Clin. Transl. Neurol. n/a. https://onlinelibrary.wiley.com/doi/10.1002/acn3.51324 
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* Kristin Wright-Bettner, Chen Lin, Timothy Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer, James H Martin, Guergana Savova, Defining and Learning Refined Temporal Relations in the Clinical Narrative, Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 104-114, 2020/11.https://www.aclweb.org/anthology/2020.louhi-1.12/
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* Chen Lin, Timothy Miller, Dmitriy Dligach, Farig Sadeque, Steven Bethard, Guergana Savova, A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction, Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 70-75, 2020/7. https://www.aclweb.org/anthology/2020.bionlp-1.7/
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*Alon Geva, Steven H Abman, Shannon F Manzi, Dunbar D Ivy, Mary P Mullen, John Griffin, Chen Lin, Guergana K Savova, Kenneth D Mandl. 2020. Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources. Journal of the American Medical Informatics Association, Vol. 27, issue 2, pp. 249-300. PMID: 31769835 PMCID: PMC7025334 DOI: 10.1093/jamia/ocz194. https://academic.oup.com/jamia/article/27/2/294/5643900
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* Sujay Kulshrestha, Dmitriy Dligach, Cara Joyce, Marshall S Baker, Richard Gonzalez, Ann P O’Rourke, Joshua M Glazer, Anne Stey, Jacqueline M Kruser, Matthew M Churpek, Majid Afshar. Prediction of severe chest injury using natural language processing from the electronic health record. Injury. 2020.
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* Anoop Mayampurath, Matthew Churpek, Xin Su, Sameep Shah, Elizabeth Munroe, Bhakti Patel, Dmitriy Dligach, and Majid Afshar. External Validation of an Acute Respiratory Distress Syndrome Prediction Model Using Radiology Reports. Critical Care Medicine. 2020.
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* To D, Sharma B, Karnik N, Joyce C, Dligach D, Afshar M. Validation of an alcohol misuse classifier in hospitalized patients. Alcohol. 2020 May;84:49-55. doi: 10.1016/j.alcohol.2019.09.008. Epub 2019 Sep 28. PubMed PMID: 31574300; PubMed Central PMCID: PMC7101259.
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* Lin, Chen. 2020 . Customize cTAKES for Automated Adverse Drug Event Surveillance in Pediatric Pulmonary Hypertension. ApacheCon 2020, cTAKES track. October 2020. Virtual due to COVID-19. https://www.apachecon.com/acah2020/tracks/ctakes.html
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* Savova, Guergana. 2020 . “Natural Language Processing for Cancer Deep Phenotyping”. Observational Health Data Sciences and Informatics (OHDSI) consortium. October 2020.
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* Savova, Guergana . 2020. “Clinical Natural Language Processing, Some Tasks and Applications in Medicine”. 11th International Workshop on Heath Text Mining and Information Analysis (LOUHI), Conference on Empirical Methods for Natural Language Processing (EMNLP) 2020. Virtual due to COVID-19
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=== 2019 ===
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* Kristin Wright-Bettner , Martha Palmer, Guergana Savova, Piet de Groen and Timothy Miller. 2019. Cross-document coreference: An approach to capturing coreference without context. In LOUHI 2019: The Tenth International Workshop on Health Text Mining and Information Analysis. Hong Kong, Nov 3, 2019.https://www.aclweb.org/anthology/D19-6201/
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* Dmitriy Dligach, Majid Afshar, Timothy Miller. Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse. American Medical Informatics Association Symposium. Washington DC, November, 2019.
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* Lin, Chen, Miller, Timothy , Dligach, Dmitriy, Bethard, Steven & Savova, Guergana. 2019. A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction. in Clinical NLP Workshop (2019). Conference North American Association of Computational Linguistics. Minneapolis, MN. June 3-7 2019. https://www.aclweb.org/anthology/W19-1908.pdf
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* Guergana Savova, Ioana  Danciu, Folami Alamudun, Timothy Miller, Chen Lin, Danielle S Bitterman, Georgia Tourassi and Jeremy L Warner. 2019. Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records. Cancer Research. doi: 10.1158/0008-5472.CAN-19-0579. PMID: 31395609
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* To D, Sharma B, Karnik N, Joyce C, Dligach  D, Afshar M. Validation of an Alcohol Misuse Classifier in Hospitalized Patients. Alcohol. 2019 Sep 28;. doi: 10.1016/j.alcohol.2019.09.008.
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* Dongfang Xu , Egoitz Laparra, Steven Bethard. Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis. Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019). Minneapolis, MN. June 2019. https://www.aclweb.org/anthology/S19-1008.
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* Piet de Groen, 2019. Challenges and Limitations of Natural Language Processing. Mayo Clinic Conference:  Current Applications and Future of Artificial Intelligence in Cardiology. July 20, 2019. San Francisco, California
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* Piet de Groen, 2019. Artificial Intelligence: Challenges and Limitations of Natural Language Processing in Healthcare. December 12, 2019 – Medical Grand Rounds:  University of Minnesota, Minneapolis, MN
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=== 2018 ===
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* Lin, Chen; Miller, Timothy; Dligach, Dmitriy; Amiry, Hadi; Bethard, Steven; Savova, Guergana. 2018. Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction. LOUHI 2018: The Ninth International Workshop on Health Text Mining and Information Analysis. October 31, 2018, Brussels, Belgium
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=== 2017 ===
 
=== 2017 ===
* Dligach, Dmitriy; Miller, Timothy; Lin, Chen; Bethard, Steven; Savova, Guergana. 2017. Neural temporal relation extraction. European Chapter of the Association for Computational Linguistics (EACL 2017). April 3-7, 2017. Valencia, Spain. http://www.aclweb.org/anthology/E17-2118.
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* Dligach, Dmitriy; Miller, Timothy; Lin, Chen; Bethard, Steven; Savova, Guergana. 2017. Neural temporal relation extraction. European Chapter of the Association for Computational Linguistics (EACL 2017). April 3-7, 2017. Valencia, Spain.  
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* Miller, Timothy; Dligach, Dmitriy; Bethard, Steven; Lin, Chen; Savova, Guergana. 2017. Towards Portable Entity-Centric Clinical Coreference Resolution. Journal of Biomedical Informatics. Vol. 69, May 2017, pp. 251-258. https://doi.org/10.1016/j.jbi.2017.04.015; http://www.sciencedirect.com/science/article/pii/S1532046417300850
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* Natalia Viani, Timothy Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silvia Priori, Riccardo Bellazzi, Lucia Sacchi and Guergana Savova. 2017. Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. AIME 2017 16th Conference on Artificial Intelligence in Medicine. Vienna, Austria June 21-24, 2017.
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* Lin, Chen; Miller, Timothy; Dligach, Dmitriy; Bethard, Steven; Savova, Guergana. 2017. Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks. BioNLP workshop at the Association for Computational Linguistics conference. Vancouver, Canada, Friday August 4, 2017
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* Timothy A. Miller, Dmitriy Dligach, Chen Lin, Steven Bethard, Guergana Savova. Cross-domain Coreference Feature Exploration. Annual Symposium of the American Medical Informatics Association, Chicago, IL, 2016.
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* Steven Bethard, Guergana Savova, Martha Palmer, and James Pustejovsky. SemEval-2017 Task 12: Clinical TempEval. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), Vancouver, Canada, August 3-4, 2017.  
  
 
* Clinical TempEval 2017: http://alt.qcri.org/semeval2017/task12/
 
* Clinical TempEval 2017: http://alt.qcri.org/semeval2017/task12/
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* SemEval 2016 Clinical TempEval Task 12: http://alt.qcri.org/semeval2016/task12/
 
* SemEval 2016 Clinical TempEval Task 12: http://alt.qcri.org/semeval2016/task12/
 
* SemEval 2017 Clinical TempEval Task 12: http://alt.qcri.org/semeval2017/task12/
 
* SemEval 2017 Clinical TempEval Task 12: http://alt.qcri.org/semeval2017/task12/
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== Getting access to the THYME corpus and gold standard annotations ==
 
== Getting access to the THYME corpus and gold standard annotations ==
  
The THYME corpus with the gold standard annotations is available to others involved in NLP research under a data use agreement (DUA) with Mayo Clinic. The steps for obtaining a DUA are outlined below. After the DUA has been completed, the THYME corpus is available via a secure download mechanism. Distribution of the corpus is supported by grant LM010090 from the NIH; include the funding acknowledgment in your publications.
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The THYME corpus with the gold standard annotations is available to others involved in NLP research under a data use agreement (DUA) with Mayo Clinic. The corpus is distributed through the hNLP Center (center.healthnlp.org). Please, visit the hNLP Center website for more details.
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 +
When using the THYME corpus, please
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# Include the Mayo Clinic in your acknowledgements
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# Cite the article: William F. Styler IV, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. de Groen, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, James Pustejovsky. Temporal Annotation in the Clinical Domain. Transactions of the Association for Computational Linguistics. Vol 2 (2014). https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/305
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<!-- [GS: this is the old content] The steps for obtaining a DUA are outlined below. After the DUA has been completed, the THYME corpus is available via a secure download mechanism. Distribution of the corpus is supported by grant LM010090 from the NIH; include the funding acknowledgment in your publications.
  
 
The corpus is released to an established or junior NLP investigator, formally associated with an institution; thus it is not released to a student. However, all students working with the investigator can have full access to the corpus under the DUA of the investigator. The investigator is urged to have the students work on the corpus on workstations that stay within the laboratory space of the investigator.  
 
The corpus is released to an established or junior NLP investigator, formally associated with an institution; thus it is not released to a student. However, all students working with the investigator can have full access to the corpus under the DUA of the investigator. The investigator is urged to have the students work on the corpus on workstations that stay within the laboratory space of the investigator.  
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# A THYME investigator will send your principal investigator a DUA for you to add information to, and for you to have signed by your site's official signatory. The THYME investigator will provide instructions for returning the signed and completed DUA.
 
# A THYME investigator will send your principal investigator a DUA for you to add information to, and for you to have signed by your site's official signatory. The THYME investigator will provide instructions for returning the signed and completed DUA.
 
# When you return the DUA, a THYME investigator will arrange to talk with your principal investigator. Of note, the discussion must be with the lab's principal investigator, not a student/postdoc/administrator. Topics that will be addressed include allowable uses of the data and proper security measures.
 
# When you return the DUA, a THYME investigator will arrange to talk with your principal investigator. Of note, the discussion must be with the lab's principal investigator, not a student/postdoc/administrator. Topics that will be addressed include allowable uses of the data and proper security measures.
# Once the DUA is complete and a THYME investigator has confirmed your understanding of the DUA, you will be sent instructions for obtaining the corpus via a secure downloading mechanism.
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# Once the DUA is complete and a THYME investigator has confirmed your understanding of the DUA, you will be sent instructions for obtaining the corpus via a secure downloading mechanism. -->
 
 
When using the THYME corpus, please
 
  
# Include the Mayo Clinic in your acknowledgements
 
# Cite the article: William F. Styler IV, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. de Groen, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, James Pustejovsky. Temporal Annotation in the Clinical Domain. Transactions of the Association for Computational Linguistics. Vol 2 (2014). https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/305
 
  
 
== THYME Gold Standard Annotations ==
 
== THYME Gold Standard Annotations ==
 
Annotation layers are treebank and propbank annotations as well as temporal annotations for events, temporal expressions and temporal relations.
 
Annotation layers are treebank and propbank annotations as well as temporal annotations for events, temporal expressions and temporal relations.
 
  
 
=== Annotation guidelines ===
 
=== Annotation guidelines ===
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* Test sets: [6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 94, 95, 102, 103, 110, 111, 118, 119, 126, 127, 134, 135, 142, 143, 150, 151, 158, 159, 166, 167, 174, 175, 182, 183, 190, 191, 198, 199]
 
* Test sets: [6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 94, 95, 102, 103, 110, 111, 118, 119, 126, 127, 134, 135, 142, 143, 150, 151, 158, 159, 166, 167, 174, 175, 182, 183, 190, 191, 198, 199]
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== THYME Software ==
 
== THYME Software ==
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* [[development progress]]
 
* [[development progress]]
  
We are also developing a visualization tool (THYME viz tool) which will be made available in cTAKES. A prototype and details of the THYME vizualization tool was presented by Sean Finan at several annual workshops.
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We have developed a visualization tool (THYME viz tool) available in Apache cTAKES sandbox. A prototype and details of the THYME vizualization tool was presented by Sean Finan at several annual workshops:
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* Finan, Sean. 2013. Challenges of visually representing rich temporal information of the clinical narrative. Workshop: Exploring Temporal Patterns in Electronic Health Record Data. 30th Annual Human-Computer Interaction Lab Symposium. May 22-23 2013. University of Maryland. http://www.cs.umd.edu/hcil/eventflow/workshop2013/
  
Finan, Sean. 2013. Challenges of visually representing rich temporal information of the clinical narrative. Workshop: Exploring Temporal Patterns in Electronic Health Record Data. 30th Annual Human-Computer Interaction Lab Symposium. May 22-23 2013. University of Maryland. http://www.cs.umd.edu/hcil/eventflow/workshop2013/
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* Finan, Sean. De Groen, Piet. Savova, Guergana. 2014. Narrative Event and Temporal Relation Visualization Tool. Workshop: Exploring Temporal Patterns in Electronic Health Record Data. 31st Annual Human-Computer Interaction Lab Symposium. May 29 2014. University of Maryland. http://www.cs.umd.edu/hcil/eventflow/workshop2014/
  
Finan, Sean. De Groen, Piet. Savova, Guergana. 2014.  Narrative Event and Temporal Relation Visualization Tool. Workshop: Exploring Temporal Patterns in Electronic Health Record Data. 31st Annual Human-Computer Interaction Lab Symposium. May 29 2014. University of Maryland. http://www.cs.umd.edu/hcil/eventflow/workshop2014/
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* Finan, Sean. De Groen, Piet. Savova, Guergana. 2014.  Narrative Event and Temporal Relation Visualization Tool. Natural Language Processing Workshop.  Informatics for Integrating Biology & the Bedside (I2B2).  4th Annual Academic User Group Meeting. July 9 2014.  Harvard Medical School.
 
 
Finan, Sean. De Groen, Piet. Savova, Guergana. 2014.  Narrative Event and Temporal Relation Visualization Tool. Natural Language Processing Workshop.  Informatics for Integrating Biology & the Bedside (I2B2).  4th Annual Academic User Group Meeting. July 9 2014.  Harvard Medical School.
 
 
https://www.i2b2.org/events/slides/NarrativeVisualizer.pdf
 
https://www.i2b2.org/events/slides/NarrativeVisualizer.pdf
  
 
* [http://youtu.be/Kp9YE0o3urU Visualization Tool Demonstration Video]
 
* [http://youtu.be/Kp9YE0o3urU Visualization Tool Demonstration Video]
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== Relevant Background Papers ==
 
== Relevant Background Papers ==
 
[[Relevant Papers]]
 
[[Relevant Papers]]
  
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== Reading Group ==
 +
[[Paper Queue]]
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[[2022 NAACL]]
  
 
== Internal Presentations ==
 
== Internal Presentations ==
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== Communication ==
 
== Communication ==
* Bi-weekly team meetings, Tue 1:30-2:30 pm ET
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* Bi-weekly team meetings, Fri 11am-noon ET
** [[Call_in_detals| Call in details]]
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<!-- ** [[Call_in_detals| Call in details]]-->
* Weekly methods meetings, Fri 3:30-5 pm ET
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* Weekly methods meetings: Weds 12noon-1:30PM Eastern time
* [[Distribution_lists|Distribution Lists]]
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<!-- * [[Distribution_lists|Distribution Lists]]-->
  
 
== IDEAS notebook ==
 
== IDEAS notebook ==
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== Meeting Notes ==
 
== Meeting Notes ==
*[[THYME_Methods_04142017 | April 14, 2017]] Methods meeting
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*[[Methods_031324|Mar 13, 2024]] Methods meeting
*[[THYME_Methods_04072017 | April 07, 2017]] Methods meeting
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*[[Methods_030624|Mar 6, 2024]] Methods meeting
*[[THYME_Methods_03312017 | March 31, 2017]] Methods meeting
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*[[Methods_022824|Feb 28, 2024]] Methods meeting
*[[THYME_Methods_03242017 | March 24, 2017]] Methods meeting
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*[[Methods_022124|Feb 21, 2024]] Methods meeting
*[[THYME_Methods_03172017 | March 17, 2017]] Methods meeting
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*[[Methods_021424|Feb 14, 2024]] Methods meeting
*[[THYME_Meeting_03142017 | March 14, 2017]] Bi-weekly team meeting agenda and notes
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*[[Methods_020724|Feb 7, 2024]] Methods meeting
*[[THYME_Methods_03102017 | March 10, 2017]] Methods meeting
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*[[Methods_013124|Jan 31, 2024]] Methods meeting
*[[THYME_Methods_03032017 | March 3, 2017]] Methods meeting
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*[[Methods_012424|Jan 24, 2024]] Methods meeting
*[[THYME_Meeting_02142017 | February 14, 2017]] Bi-weekly team meeting agenda and notes
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*[[Methods_011724|Jan 17, 2024]] Methods meeting
*[[THYME_Methods_02102017 | February 10, 2017]] Methods meeting
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*[[Methods_011024|Jan 10, 2024]] Methods meeting
*[[THYME_Meeting_01312017 | January 31, 2017]] Team meeting agenda and notes
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* Canceled for Dec 27 and Jan 3, resuming Jan 10
*[[THYME_Methods_01272017 | January 27, 2017]] Methods meeting
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*[[Meeting_notes_2023 | 2023 Meeting notes]]
*[[THYME_Meeting_01172017 | January 17, 2017]] Team meeting agenda and notes
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*[[Meeting_notes_2022 | 2022 Meeting notes]]
*[[THYME_Methods_01062017 | January 6, 2017]] Methods meeting
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*[[Meeting_notes_2021 | 2021 Meeting notes]]
*[[THYME_Meeting_12132016 | December 13, 2016]] Team meeting agenda and notes
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*[[Meeting_notes_2020 | 2020 Meeting notes]]
*[[THYME_Meeting_11292016 | November 29, 2016]] Team meeting agenda and notes
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*[[Meeting_notes_2019 | 2019 Meeting notes]]
*[[THYME_Methods_11182016 | November 18, 2016]] Methods meeting
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*[[Meeting_notes_2018 | 2018 Meeting notes]]
*[[THYME_Methods_11042016 | November 04, 2016]] Methods meeting
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*[[Meeting_notes_2017 | 2017 Meeting notes]]
*[[THYME_Methods_10282016 | October 28, 2016]] Methods meeting
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*[[Meeting_notes_2016 | 2016 Meeting notes]]
*[[THYME_Methods_10212016 | October 21, 2016]] Methods meeting
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*[[Meeting_notes_2015 | 2015 Meeting notes]]
*[[THYME_Meeting_10182016 | October 18, 2016]] Bi-weekly team meeting agenda and notes
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*[[Meeting_notes_2014 | 2014 Meeting notes]]
*[[THYME_Methods_10142016 | October 14, 2016]] Methods meeting
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*[[Meeting_notes_2013 | 2013 Meeting notes]]
*[[THYME_Methods_10072016 | October 7, 2016]] Methods meeting
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*[[Meeting_notes_2012 | 2012 Meeting notes]]
*[[THYME_Meeting_10042016 | October 4, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_09302016 | Sep 30, 2016]] Methods meeting
 
*[[THYME_Meeting_09202016 | September 20, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Meeting_09062016 | September 6, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Meeting_08222016 | August 22, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Meeting_07262016 | July 26, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Meeting_06282016 | June 28, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_06022016 | June 2, 2016]] Methods meeting
 
*[[THYME_Meeting_05312016 | May 31, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_05192016 | May 19, 2016]] Methods meeting
 
*[[THYME_Meeting_05172016 | May 17, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_05052016 | May 5, 2016]] Methods meeting
 
*[[THYME_Meeting_05032016 | May 3, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Meeting_04282016 | April 28, 2016]] Methods meeting
 
*[[THYME_Meeting_04052016 | April 5, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_03312016 | March 31, 2016]] Methods meeting
 
*[[THYME_Methods_03242016 | March 24, 2016]] Methods meeting
 
*[[THYME_Methods_03222016 | March 22, 2016]] Bi-weekly team meeting
 
*[[THYME_Methods_03172016 | March 17, 2016]] Methods meeting
 
*[[THYME_Meeting_03082016 | March 8, 2016]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_03032016 | March 3, 2016]] Methods meeting
 
*[[THYME_Methods_02252016 | February 25, 2016]] Methods meeting
 
*[[THYME_Methods_02232016 | February 23, 2016]] Bi-weekly team meeting
 
*[[THYME_Methods_02182016 | February 18, 2016]] Methods meeting
 
*[[THYME_Methods_02092016 | February 9, 2016]] Bi-weekly team meeting
 
*[[THYME_Methods_02052016 | February 5, 2016]] Methods meeting
 
*[[THYME_Methods_01282016 | January 28, 2016]] Methods meeting
 
*[[THYME_Methods_01262016 | January 26, 2016]] Bi-weekly team meeting
 
*[[THYME_Methods_01212016 | January 21, 2016]] Methods meeting
 
*[[THYME_Methods_011216 | January 12, 2016]] Bi-weekly team meeting
 
*[[THYME_Methods_01072016 | January 7, 2016]] Methods meeting
 
*[[THYME_Methods_12182015 | December 18, 2015]] Methods meeting
 
*[[THYME_Methods_12152015 | December 15, 2015]] Bi-weekly team meeting
 
*[[THYME_Methods_12042015 | December 4, 2015]] Methods meeting (paper recommendations from JBG)
 
*[[THYME_Methods_12012015 | December 1, 2015]] Bi-weekly team meeting
 
*[[THYME_Methods_11032015 | November 3, 2015]] Bi-weekly team meeting
 
*[[THYME_Methods_10302015 | October 30, 2015]] Methods meeting
 
*[[THYME_Methods_10202015 | October 20, 2015]] Bi-weekly team meeting
 
*[[THYME_Methods_10092015 | October 9, 2015]] Methods meeting
 
*[[THYME_Methods_10062015 | October 6, 2015]] Bi-weekly team meeting
 
*[[THYME_Methods_10022015 | October 2, 2015]] Methods meeting
 
*[[THYME_Methods_02202015 | February 20, 2015]] Methods meeting agenda and notes
 
*[[THYME_Methods_02062015 | February 6, 2015]] Methods meeting agenda and notes
 
*[[THYME_Methods_01302015 | January 30, 2015]] Methods meeting agenda and notes
 
*[[THYME_Methods_01232015 | January 23, 2015]] Methods meeting agenda and notes
 
*[[THYME_Methods_01162015b | Experiments for UMLS expansion]] Document describing some UMLS experiments
 
*[[THYME_Methods_01162015 | January 16, 2015]] Methods meeting agenda and notes
 
*[[THYME_Methods_01092015 | January 9, 2015]] Methods meeting agenda and notes
 
*[[THYME_Meeting_12192014 | December 19, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_12122014 | December 12, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_12052014 | December 5, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_11212014 | November 21, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_11142014 | November 14, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_11072014 | November 7, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_10302014 | October 30, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_10242014 | October 24, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_10172014 | October 17, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_10102014 | October 10, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_10032014 | October 3, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_09242014 | Sept 24, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Meeting_09262014 | Sept 26, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_09192014 | Sept 19, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_09122014 | Sept 12, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_09102014 | Sept 10, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Meeting_09052014 | Sept 5, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_08272014 | August 27, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Meeting_08132014 | August 13, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_08082014 | August 8, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_08012014 | August 1, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_07302014 | July 30, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_07242014 | July 24, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_07182014 | July 18, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_07162014 | July 16, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_07112014 | July 11, 2014]] Methods meeting agenda and notes
 
* No conference call on July 2, 2014. Happy 4th of July!
 
*[[THYME_Methods_06202014 | June 20, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_06162014 | June 16, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Meeting_06042014 | June 4, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_05302014 | May 30, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_05232014 | May 23, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_05212014 | May 21, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_05162014 | May 16, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_05092014 | May 9, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_05072014 | May 7, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_05032014 | May 3, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_04252014 | April 25, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_04232014 | April 23, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_04182014 | April 18, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_04112014 | April 11, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_04092014 | April 9, 2014]] Agenda and notes
 
*[[THYME_Methods_04042014 | April 4, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_03282014 | March 28, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_03262014 | March 26, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_03212014 | March 21, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_03142014 | March 14, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_03122014 | March 12, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_03072014 | March 7, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_02282014 | February 28, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_02252014 | February 25, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_02212014 | February 21, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_02142014 | February 14, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_02122014 | February 12, 2014]] Bi-weekly team meeting agenda and notes
 
*[[THYME_Methods_02072014 | February 7, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_01312014 | January 31, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_01292014 | January 29, 2014]] Agenda and notes
 
*[[THYME_Methods_01242014 | January 24, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_01172014 | January 17, 2014]] Methods meeting agenda and notes
 
*[[THYME_Methods_01102014 | January 10, 2014]] Methods meeting agenda and notes
 
*[[THYME_Meeting_01072014 | January 8, 2014]] Agenda and notes
 
*[[THYME_Methods_12192013 | December 20, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_12182013 | December 18, 2013]] Agenda and notes
 
*[[THYME_Methods_12132013 | December 13, 2013]] Methods meeting agenda and notes
 
*[[THYME_Methods_12062013 | December 6, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_12042013 | December 4, 2013]] Agenda and notes
 
*[[THYME_Methods_11222013 | Nov 22, 2013]] Methods meeting agenda and notes
 
*[[THYME_Methods_11152013 | Nov 15, 2013]] Methods meeting agenda and notes
 
*[[THYME_Methods_11082013 | Nov 8, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_11062013 | Nov 6, 2013]] Agenda and notes
 
*[[THYME_Meeting_11012013 | Nov 1, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_10232013 | Oct 23, 2013]] Agenda and notes
 
*[[THYME_Meeting_10112013 | Oct 11, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_10092013 | Oct 9, 2013]] Agenda and notes
 
*[[THYME_Meeting_10042013 | Oct 4, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_09272013 | Sep 27, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_09252013 | Sep 25, 2013]] Agenda and notes
 
*[[THYME_Meeting_09202013 | Sep 20, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_09132013 | Sep 13, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_09112013 | Sep 11, 2013]] Agenda and notes
 
*[[THYME_Methods_09062013 | Sep 06, 2013]] Methods meeting agenda and notes
 
*[[THYME_Methods_08302013 | Aug 30, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_08282013 | August 28, 2013]] Agenda and notes
 
*[[THYME_Methods_08232013 | Aug 23, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_08142013 | August 14, 2013]] Agenda and notes
 
*[[THYME_Methods_08162013 | Aug 16, 2013]] Methods meeting agenda and notes
 
*[[THYME_Methods_08022013 | Aug 2, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_07312013 | July 31, 2013]] Agenda and notes
 
*[[THYME_Methods_07252013 | July 25, 2013]] Methods meeting agenda and notes
 
*[[THYME_Methods_07192013 | July 19, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_07172013 | July 17, 2013]] Agenda and notes
 
*[[THYME_Methods_07122013 | July 12, 2013]] Methods meeting agenda and notes
 
* No conference call on July 3, 2013. Happy 4th of July!
 
*[[THYME_Methods_06282013 | June 28, 2013]] Methods meeting agenda and notes
 
*[[THYME_Methods_06192013 | June 19, 2013]] Agenda and notes
 
*[[THYME_Methods_06052013 | June 5, 2013]] Agenda and notes
 
*[[THYME_Methods_05312013 | May 31, 2013]] Methods meeting agenda and notes
 
*[[THYME_Methods_05242013 | May 24, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_05222013 | May 22, 2013]] Agenda and notes
 
*[[THYME_Methods_05172013 | May 17, 2013]] Methods meeting agenda and notes
 
*[[THYME_Methods_05092013 | May 9, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_05082013 | May 8, 2013]] Agenda and notes
 
*[[THYME_Methods_05032013 | May 3, 2013]] Methods meeting agenda and notes
 
*[[THYME_Meeting_04242013 | April 24, 2013]] Agenda and notes
 
*[[THYME_Meeting_04102013 | April 10, 2013]] Agenda and notes
 
*[[THYME_Meeting_03272013 | March 27, 2013]] Agenda and notes
 
*[[THYME_Meeting_03132013 | March 13, 2013]] Agenda and notes
 
*[[THYME_Meeting_02272013 | February 27, 2013]] Agenda and notes
 
*[[THYME_Meeting_02132013 | February 13, 2013]] Agenda and notes
 
*[[THYME_Meeting_01302030 | January 30, 2013]] Agenda and notes
 
*[[THYME_Meeting_01282030 | January 28, 2013 (annotations subgroup)]] Agenda and notes
 
*[[THYME_Meeting_01162013 | January 16, 2013]] Agenda and notes
 
*[[THYME_Meeting_01022013 | January 2, 2013]] Agenda and notes
 
*[[THYME_Meeting_12192012 | December 19, 2012]] Agenda and notes
 
*[[THYME_Meeting_12052012 | December 5, 2012]] Agenda and notes
 
*[[THYME_Meeting_11212012 | November 21, 2012]] Agenda and notes
 
*[[THYME_Meeting_11062012 | November 6, 2012]] Agenda and notes
 
*[[THYME_Meeting_10242012 | October 24, 2012]] Agenda and notes
 
*[[THYME_Meeting_10102012 | October 10, 2012]] Agenda and notes
 
*[[THYME_Meeting_09122012 | September 12, 2012]] Agenda and notes
 
*[[THYME_Meeting_08292012 | August 29, 2012]] Agenda and notes
 
*[[THYME_Meeting_08152012 | August 15, 2012]] Agenda and notes
 
*[[THYME_Meeting_08012012 | August 1, 2012]] Agenda and notes
 
*[[THYME_Meeting_07182012 | July 18, 2012]] Agenda and notes
 
*[[THYME_Meeting_06272012 | June 22, 2012]] Agenda and notes
 
*[[THYME_Meeting_06202012 | June 20, 2012]] Agenda and notes
 
*[[THYME_Meeting_06062012 | June 6, 2012]] Agenda and notes
 
*[[THYME_Meeting_05232012 | May 23, 2012]] Agenda and notes
 
*[[THYME_Meeting_05092012 | May 9, 2012]] Agenda and notes
 
*[[THYME_Meeting_04252012 | April 25, 2012]] Agenda and notes
 
*[[THYME_Meeting_04112012 | April 11, 2012]] Agenda and notes
 
*[[THYME_Meeting_03282012 | March 28, 2012]] Agenda and notes
 
*[[THYME_Meeting_03142012 | March 14, 2012]] Agenda and notes
 
*[[THYME_Meeting_02292012 | Feb 29, 2012]] Agenda and notes
 
*[[THYME_Meeting_02142012 | Feb 14, 2012]] Agenda and notes
 
*[[THYME_Meeting_02012012 | Feb 1, 2012]] Agenda and notes
 
  
 
== Getting started ==
 
== Getting started ==

Latest revision as of 13:39, 6 March 2024

Welcome to the THYME project

Welcome to the Temporal Histories of Your Medical Event (THYME) project (THYME is pronounced [taim]).

The overarching long-term vision of our research is to create novel technologies for processing clinical free text. Such technologies will enable sophisticated and efficient indexing, retrieval and data mining over the ever increasing amounts of electronic clinical data. Processing free text poses a number of challenges to which the fields of Artificial intelligence, natural language processing and computer science in general have made advances. Methods for processing free text are informed by linguistic theory combined with the power of modern machine learning. A key component to the next step, natural language understanding, is discovering events and their relations on a timeline. Temporal relations are of prime importance in biomedicine as they are intrinsically linked to diseases, signs and symptoms, and treatments. Understanding the timeline of clinically relevant events is key to the next generation of translational research where the importance of generalizing over large amounts of data holds the promise of deciphering biomedical puzzles.

The best methods have been/will be released as part of the cTAKES (ctakes.apache.org) for the larger community to use and contribute to. We will test the methods against biomedical queries.

Funding

Phase 1 of the project (2010-2014) was supported by THYME R01LM010090 from the National Library Of Medicine and in part by the i2b2 project (U54LM008748 from the National Library of Medicine).

Phase 2 (2015-2018) and Phase 3 (2019-2023) are supported by THYME R01LM010090 from the National Library Of Medicine.

The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Library Of Medicine or the National Institutes of Health.


Who We Are

  • Boston Childrens Hospital/Harvard Medical School
    • Guergana Savova (MPI)
    • Timothy Miller
    • Sean Finan
    • Chen Lin
    • David Harris
  • University of Colorado -- Boulder
    • Martha Palmer (MPI)
    • Jim Martin
    • Kristin Wright-Bettner
    • a small army of Lingustics and Computer Science graduate students
    • past -- Wayne Ward, Jordan Boyd-Graber, Will Styler III, Arrick Lanfranchi (through August, 2012), Tim O'Gorman, Kevin Crooks (through December 2013), Mariah Hamang, Jinho Cho
  • University of Arizona
    • Steven Bethard
    • graduate students
  • Loyola University Chicago
    • Dmitriy Dligach
    • graduate students
  • University of Minnesota
    • Piet de Groen
  • University of Alabama, Birmingham
    • John Osborne
  • Mayo Clinic
    • past -- Piet de Groen, Brad Erickson, James Masanz (through July, 2015), Donna Ihrke (through December, 2012), Pauline Funk (through January, 2013)
  • Brandeis University
    • James Pustejovsky


Publications and presentations crediting THYME

2021

  • Lin, Chen, Timothy Miller, Dmitriy Dligach, Steven Bethard, and Guergana Savova. "EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain." In Proceedings of the 20th Workshop on Biomedical Language Processing, pp. 191-201. 2021.
  • Kulshrestha S, Dligach D, Joyce C, Baker MS, Gonzalez R, O’Rourke AP, Glazer JM, Stey A, Kruser JM, Churpek MM, Afshar M. Comparison and Interpretability of Machine Learning Models to Predict Severity of Injury. JAMIA Open. 2021.
  • Savova, Guergana . 2021. “Natural Language Processing for Biomedicine”. Informatics and Implementation Science Learning Series (I2S2). April 2021. Brown University, RI

2020

  • Kristin Wright-Bettner, Chen Lin, Timothy Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer, James H Martin, Guergana Savova, Defining and Learning Refined Temporal Relations in the Clinical Narrative, Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 104-114, 2020/11.https://www.aclweb.org/anthology/2020.louhi-1.12/
  • Chen Lin, Timothy Miller, Dmitriy Dligach, Farig Sadeque, Steven Bethard, Guergana Savova, A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction, Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 70-75, 2020/7. https://www.aclweb.org/anthology/2020.bionlp-1.7/
  • Alon Geva, Steven H Abman, Shannon F Manzi, Dunbar D Ivy, Mary P Mullen, John Griffin, Chen Lin, Guergana K Savova, Kenneth D Mandl. 2020. Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources. Journal of the American Medical Informatics Association, Vol. 27, issue 2, pp. 249-300. PMID: 31769835 PMCID: PMC7025334 DOI: 10.1093/jamia/ocz194. https://academic.oup.com/jamia/article/27/2/294/5643900
  • Sujay Kulshrestha, Dmitriy Dligach, Cara Joyce, Marshall S Baker, Richard Gonzalez, Ann P O’Rourke, Joshua M Glazer, Anne Stey, Jacqueline M Kruser, Matthew M Churpek, Majid Afshar. Prediction of severe chest injury using natural language processing from the electronic health record. Injury. 2020.
  • Anoop Mayampurath, Matthew Churpek, Xin Su, Sameep Shah, Elizabeth Munroe, Bhakti Patel, Dmitriy Dligach, and Majid Afshar. External Validation of an Acute Respiratory Distress Syndrome Prediction Model Using Radiology Reports. Critical Care Medicine. 2020.
  • To D, Sharma B, Karnik N, Joyce C, Dligach D, Afshar M. Validation of an alcohol misuse classifier in hospitalized patients. Alcohol. 2020 May;84:49-55. doi: 10.1016/j.alcohol.2019.09.008. Epub 2019 Sep 28. PubMed PMID: 31574300; PubMed Central PMCID: PMC7101259.
  • Savova, Guergana. 2020 . “Natural Language Processing for Cancer Deep Phenotyping”. Observational Health Data Sciences and Informatics (OHDSI) consortium. October 2020.
  • Savova, Guergana . 2020. “Clinical Natural Language Processing, Some Tasks and Applications in Medicine”. 11th International Workshop on Heath Text Mining and Information Analysis (LOUHI), Conference on Empirical Methods for Natural Language Processing (EMNLP) 2020. Virtual due to COVID-19

2019

  • Kristin Wright-Bettner , Martha Palmer, Guergana Savova, Piet de Groen and Timothy Miller. 2019. Cross-document coreference: An approach to capturing coreference without context. In LOUHI 2019: The Tenth International Workshop on Health Text Mining and Information Analysis. Hong Kong, Nov 3, 2019.https://www.aclweb.org/anthology/D19-6201/
  • Dmitriy Dligach, Majid Afshar, Timothy Miller. Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse. American Medical Informatics Association Symposium. Washington DC, November, 2019.
  • Lin, Chen, Miller, Timothy , Dligach, Dmitriy, Bethard, Steven & Savova, Guergana. 2019. A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction. in Clinical NLP Workshop (2019). Conference North American Association of Computational Linguistics. Minneapolis, MN. June 3-7 2019. https://www.aclweb.org/anthology/W19-1908.pdf
  • Guergana Savova, Ioana Danciu, Folami Alamudun, Timothy Miller, Chen Lin, Danielle S Bitterman, Georgia Tourassi and Jeremy L Warner. 2019. Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records. Cancer Research. doi: 10.1158/0008-5472.CAN-19-0579. PMID: 31395609
  • To D, Sharma B, Karnik N, Joyce C, Dligach D, Afshar M. Validation of an Alcohol Misuse Classifier in Hospitalized Patients. Alcohol. 2019 Sep 28;. doi: 10.1016/j.alcohol.2019.09.008.
  • Dongfang Xu , Egoitz Laparra, Steven Bethard. Pre-trained Contextualized Character Embeddings Lead to Major Improvements in Time Normalization: a Detailed Analysis. Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019). Minneapolis, MN. June 2019. https://www.aclweb.org/anthology/S19-1008.
  • Piet de Groen, 2019. Challenges and Limitations of Natural Language Processing. Mayo Clinic Conference: Current Applications and Future of Artificial Intelligence in Cardiology. July 20, 2019. San Francisco, California
  • Piet de Groen, 2019. Artificial Intelligence: Challenges and Limitations of Natural Language Processing in Healthcare. December 12, 2019 – Medical Grand Rounds: University of Minnesota, Minneapolis, MN

2018

  • Lin, Chen; Miller, Timothy; Dligach, Dmitriy; Amiry, Hadi; Bethard, Steven; Savova, Guergana. 2018. Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction. LOUHI 2018: The Ninth International Workshop on Health Text Mining and Information Analysis. October 31, 2018, Brussels, Belgium

2017

  • Dligach, Dmitriy; Miller, Timothy; Lin, Chen; Bethard, Steven; Savova, Guergana. 2017. Neural temporal relation extraction. European Chapter of the Association for Computational Linguistics (EACL 2017). April 3-7, 2017. Valencia, Spain.
  • Miller, Timothy; Dligach, Dmitriy; Bethard, Steven; Lin, Chen; Savova, Guergana. 2017. Towards Portable Entity-Centric Clinical Coreference Resolution. Journal of Biomedical Informatics. Vol. 69, May 2017, pp. 251-258. https://doi.org/10.1016/j.jbi.2017.04.015; http://www.sciencedirect.com/science/article/pii/S1532046417300850
  • Natalia Viani, Timothy Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silvia Priori, Riccardo Bellazzi, Lucia Sacchi and Guergana Savova. 2017. Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. AIME 2017 16th Conference on Artificial Intelligence in Medicine. Vienna, Austria June 21-24, 2017.
  • Lin, Chen; Miller, Timothy; Dligach, Dmitriy; Bethard, Steven; Savova, Guergana. 2017. Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks. BioNLP workshop at the Association for Computational Linguistics conference. Vancouver, Canada, Friday August 4, 2017
  • Timothy A. Miller, Dmitriy Dligach, Chen Lin, Steven Bethard, Guergana Savova. Cross-domain Coreference Feature Exploration. Annual Symposium of the American Medical Informatics Association, Chicago, IL, 2016.
  • Steven Bethard, Guergana Savova, Martha Palmer, and James Pustejovsky. SemEval-2017 Task 12: Clinical TempEval. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), Vancouver, Canada, August 3-4, 2017.

2016

  • Lin, Chen; Miller, Timothy; Dligach, Dmitriy; Bethard, Steven; Savova, Guergana. 2016. Improving Temporal Relation Extraction with Training Instance Augmentation. BioNLP workshop at the Association for Computational Linguistics conference. Berlin, Germany, Aug 2016
  • Miller, Timothy; Dligach, Dmitriy; Chen, Lin; Bethard, Steven; Savova, Guergana. 2016. Cross-domain Coreference Feature Exploration. AMIA Annual Symposium. Chicago, IL. November, 2016
  • Steven Bethard and Jonathan Parker (May 2016). “A Semantically Compositional Annotation Scheme for Time Normalization”. In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016).
  • Steven Bethard, Guergana Savova, Wei-Te Chen, Leon Derczynski, James Pustejovsky, and Marc Verhagen. 2016. “SemEval-2016 Task 12: Clinical TempEval”. In: Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval 2016). San Diego, CA
  • Ethan Hartzell, Chen Lin. 2016. Enhancing Clinical Temporal Relation Discovery with Syntactic Embeddings from GloVe. International Conference on Intelligent Biology and Medicine (ICIBM 2016). December 2016, Houston, Texas, USA
  • Clinical TempEval 2016: http://alt.qcri.org/semeval2016/task12/

2015

2014

  • Lin, Chen; Karlson, Elizabeth; Dligach, Dmitriy; Ramirez, Monica; Miller, Timothy; Mo, Huan; Braggs, Natalie; Cagan, Andrew; Denny, Joshua; Savova, Guergana. 2014. Automatic identification of Methotrexade-induced liver toxicity in Rheumatoid Arthritis patients from the electronic medical records. Journal of the Medical Informatics Association. http://jamia.bmj.com/content/early/2014/10/24/amiajnl-2014-002642.abstract
  • Pascal B. Pfiffner, JiWon Oh, Timothy A. Miller, Kenneth D. Mandl. 2014. ClinicalTrials.gov as a Data Source for Semi-Automated Point-Of-Care Trial Eligibility Screening. PlosOne. DOI: 10.1371/journal.pone.0111055. http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0111055#abstract0
  • Pradhan, Sameer; Elhadad, Noemie; South, Brett; Martinez, David; Christensen, Lee; Vogel, Amy; Suominen, Hanna; Chapman, Wendy; Savova, Guergana.2014. Evaluating the state of the art in disorder recognition and normalization of the clinical narrative. Journal of the Medical Informatics Association. http://jamia.bmj.com/content/early/2014/08/21/amiajnl-2013-002544.full.pdf+html
  • Sameer Pradhan, Noemie Elhadad, Wendy Chapman, Suresh Manandhar, Guergana Savova. 2014. SemEval 2014: Task 7. In Proceedings of the International Workshop on Semantic Evaluations, Dublin, Ireland. August. http://alt.qcri.org/semeval2014/cdrom/
  • Finan, Sean; De Groen, Piet; Savova, Guergana. 2014. Narrative event and temporal relation visualization tool. American Medical Informatics Association annual symposium. November 2014. Washington, DC.
  • Bethard, Steven. 2014. The state of the art of temporal relation extraction. Presentation at the NLP workshop at the 4th i2b2 Academic User Group conference. July 9, 2014. Boston, MA.
  • Miller, Timothy. 2014. Methods for temporal relation discovery in the clinical narrative. Presentation at the NLP workshop at the 4th i2b2 Academic User Group conference. July 9, 2014. Boston, MA.
  • Pradhan, Sameer. 2014. Extrinsic evaluation of temporal relation discovery system. Presentation at the NLP workshop at the 4th i2b2 Academic User Group conference. July 9, 2014. Boston, MA.
  • Finan, Sean. 2014. Visualization tool for temporal relations from the clinical narrative. Presentation at the NLP workshop at the 4th i2b2 Academic User Group conference. July 9, 2014. Boston, MA.
  • Chen, Pei. 2014. Modules for temporal relation discovery from the clinical narrative in Apache cTAKES. Presentation at the NLP workshop at the 4th i2b2 Academic User Group conference. July 9, 2014. Boston, MA.
  • Sameer Pradhan, Xiaoqiang Luo, Marta Recasens, Eduard Hovy, Vincent Ng and Michael Strube. 2014. Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation. Short paper. Association for Computational Linguistics Conference. Baltimore, Maryland. http://anthology.aclweb.org//
  • Xiaoqiang Luo, Sameer Pradhan, Marta Recasens and Eduard Hovy. 2014. An Extension of BLANC to System Mentions. Short paper. Association for Computational Linguistics Conference. Baltimore, Maryland. http://anthology.aclweb.org//
  • Chen Lin, Timothy Miller, Alvin Kho, Steven Bethard, Dmitriy Dligach, Sameer Pradhan and Guergana Savova. 2014. Descending-Path Convolution Kernel for Syntactic Structures. Short paper. Association for Computational Linguistics Conference. Baltimore, Maryland. http://anthology.aclweb.org//
  • Savova, Guergana. 2014. Temporal relation discovery from the clinical narrative. Invited talk at the National Library of Medicine Informatics Series. June 4, 2014. Bethesda, MD.
  • Finan, Sean; de Groen, Piet; Savova, Guergana. 2014. Narrative Event and Temporal Relation Visualization Tool. Workshop: Exploring Temporal Patterns in Electronic Health Record Data. 31 Annual Human-Computer Interaction Lab Symposium. May 29 2014. University of Maryland. http://www.cs.umd.edu/hcil/eventflow/workshop2014/
  • Bethard, Steven; Ogren, Philip; Becker, Lee. 2014. ClearTK 2.0: Design Patterns for Machine Learning in UIMA. In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14). http://anthology.aclweb.org//
  • Styler, William; Bethard, Steven; Finan, Sean; Palmer, Martha; Pradhan, Sameer; de Groen, Piet; Erickson, Brad; Miller, Timothy; Chen, Lin; Savova, Guergana K.; Pustejovsky, James. 2014. Temporal annotations in the clinical domain. Transactions of the Association for Computational Linguistics. http://www.transacl.org/wp-content/uploads/2014/04/47.pdf
  • Savova, Guergana; Pradhan, Sameer; Palmer, Martha; Styler, Will; Chapman, Wendy; Elhadad, Noemie. (in press). Annotating the clinical text – MiPACQ, ShARe, SHARPn and THYME corpora. In Handbook of Linguistic Annotations. Ed. James Pustejovsky and Nancy Ide. Springer.
  • Miller, Tim. 2014. Discovering narrative containers in clinical text. i2b2 All Hands meeting, Jan 17, 2014. Boston, MA (presentation)

2013

  • Albright, Daniel; Lanfranchi, Arrick; Fredriksen, Anwen; Styler, William; Warner, Collin; Hwang, Jena; Choi, Jinho; Dligach, Dmitriy; Nielsen, Rodney; Martin, James; Ward, Wayne; Palmer, Martha; Savova, Guergana. 2013. Towards syntactic and semantic annotations of the clinical narrative. Journal of the American Medical Informatics Association. 2013;0:1–9. doi:10.1136/amiajnl-2012-001317; http://jamia.bmj.com/cgi/rapidpdf/amiajnl-2012-001317?ijkey=z3pXhpyBzC7S1wC&keytype=ref. PMID: 23355458
  • Miller, Timothy; Dligach, Dmitriy; Bethard, Steven; Pradhan, Sameer; Lin, Chen; Savova, Guergana. 2013. Discovering time expressions in clinical text. Late breaking abstract. American Medical Informatics Association Conference. November, 2014. Washington, DC.
  • Chen, Wei-Te and Styler, Will. 2013. Anafora: A Web-based General Purpose Annotation Tool. Proceeding of the North American Association for Computational Linguistics Conference. Atlanta, GA, June 9-13. http://www.aclweb.org/anthology/N13-3004. Anafora is available open source from https://github.com/weitechen/anafora
  • Miller, Timothy; Bethard, Steven; Dligach, Dmitriy; Pradhan, Sameer; Lin, Chen; and Savova, Guergana. 2013. Discovering narrative containers in clinical text. BioNLP workshop at the Association for Computational Linguistics. http://aclweb.org/anthology/W/W13/W13-1903.pdf
  • Bethard, Steven. 2013. A Synchronous Context Free Grammar for Time Normalization. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. http://www.aclweb.org/anthology/D13-1078
  • Bethard, Steven. 2013. ClearTK-TimeML: A minimalist approach to TempEval 2013. In: Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013). Atlanta, Georgia, USA: Association for Computational Linguistics, pp. 10-14. http://www.aclweb.org/anthology/S13-2002
  • Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Hwee Tou Ng, Anders Bjorkelund, Olga Uryupina, Yuchen Zhang and Zhi Zhong. 2013. Towards Robust Linguistic Analysis Using OntoNotes. Proceedings of the Conference on Natural Language Learning. Sofia, Bulgaria. August, 2013.
  • Dligach, Dmitriy; Bethard, Steven; Becker, Lee; Miller, Timothy; Savova, Guergana. 2013. Discovering body site and severity modifiers in clinical texts. Journal of the American Medical Informatics Association. http://jamia.bmj.com/content/early/2013/10/03/amiajnl-2013-001766.full
  • Dmitriy Dligach, Timothy A. Miller, Guergana K. Savova. 2013. Active Learning for Phenotyping Tasks. In Proceedings of the 2013 NLP for Medicine and Biology workshop held in conjunction with RANLP-2013. September 2013. Hissar, Bulgaria. http://aclweb.org/anthology//W/W13/W13-5101.pdf
  • Finan, Sean. 2013. Challenges of visually representing rich temporal information of the clinical narrative. Workshop: Exploring Temporal Patterns in Electronic Health Record Data. 30th Annual Human-Computer Interaction Lab Symposium. May 22-23 2013. University of Maryland. http://www.cs.umd.edu/hcil/eventflow/workshop2013/
  • American Medical Informatics Association (AMIA) national webinar. “Towards semantic annotations of the clinical narrative”. National webinar. April 2013 (invited presentation)
  • Natural Language Processing Working Group Pre-Symposium – doctoral consortium and a data workshop. “Shared Annotated Resources for the Clinical Domain”. American Medical Informatics Association. Washington, DC, USA. November 2013.
  • Savova, Guergana; Chapman, Wendy; Elhadad, Noemie; Palmer, Martha. 2013. Shared resources, shared code and shared activities in clinical natural language processing. AMIA Annual Symposium, Panel. Washington, DC.
  • AMIA Fall symposium workshop on Natural Language Processing and data. Dr. Savova presented THYME work as part of the data workshop.

2012

  • Savova, Guergana. 2012. Shared Annotated Resources for the Clinical Domain. Natural Language Processing (NLP) Annotation workshop collocated with the 2nd annual IEEE International Conference on Healthcare Informatics, Imaging and Systems Biology. San Diego, CA, USA. September 2012.
  • Drs. Pustejovsky, Palmer and Savova are members of the Program Committee of the 2012 i2b2 shared task whose topic is temporal relations in the clinical domain. The THYME annotation guidelines are the basis of the annotation guidelines for that shared task.
  • Participation in the State of the Art of Clinical NLP workshop organized by the NLM in April, 2012. Dr. Savova chaired a session, Prof. Pustejovsky was an invited speaker presenting on Temporal relations/TimeML.
  • Participation and presentation in the AMIA Fall symposium workshop on Natural Language Processing and data. Dr. Savova presented THYME work as part of the data workshop.

2011

  • Savova, Guergana; Chapman, Wendy; Elhadad, Noemie; Palmer, Martha. 2011. Shared annotated resources for the clinical domain. AMIA Annual Symposium, Panel. Washington, DC.

Shared NLP Tasks with THYME participation


Getting access to the THYME corpus and gold standard annotations

The THYME corpus with the gold standard annotations is available to others involved in NLP research under a data use agreement (DUA) with Mayo Clinic. The corpus is distributed through the hNLP Center (center.healthnlp.org). Please, visit the hNLP Center website for more details.

When using the THYME corpus, please

  1. Include the Mayo Clinic in your acknowledgements
  2. Cite the article: William F. Styler IV, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. de Groen, Brad Erickson, Timothy Miller, Chen Lin, Guergana Savova, James Pustejovsky. Temporal Annotation in the Clinical Domain. Transactions of the Association for Computational Linguistics. Vol 2 (2014). https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/305


THYME Gold Standard Annotations

Annotation layers are treebank and propbank annotations as well as temporal annotations for events, temporal expressions and temporal relations.

Annotation guidelines

  • i2b2 Simplified THYME Guidelines (PDF) The guidelines provided to the organizers of the 2012 Temporal relations i2b2 challenge for consideration during planning. They reflect an earlier stage of our guidelines.

Tool for viewing the gold standard annotations - Anafora

We developed a web-based annotation tool. It is open source and available at https://github.com/weitechen/anafora. Use it to view the THYME annotations. Citation for the tool is:

Chen, Wei-Te and Styler, Will. 2013. Anafora: A Web-based General Purpose Annotation Tool. Proceeding of the North American Association for Computational Linguistics Conference. Atlanta, GA, June 9-13. http://www.aclweb.org/anthology/N13-3004.

Viewing the gold standard annotations (Anafora)

(available to the team only)

To view the Temporal-Entity data, use the URL:

https://verbs.colorado.edu/anafora/annotate/Temporal/ColonCancer/TASK_NAME/Temporal.Entity/gold/

TASK_NAME is the filestem, for example, ID074_path_219b

to view Temporal-Relation data:

https://verbs.colorado.edu/anafora/annotate/Temporal/ColonCancer/TASK_NAME/Temporal.Relation/gold/

you could find the available Entity/Relation gold data on verbs by using:

  find /data/anafora/anaforaProjectFile/Temporal/ -name "*Temporal-Entity.gold.completed.xml"
  find /data/anafora/anaforaProjectFile/Temporal/ -name "*Temporal-Relation.gold.completed.xml"


Train/Development/Test splits

Colon Cancer Data

  • Train sets (Residue 0,1,2,3): [1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27, 32, 33, 34, 35, 40, 41, 42, 43, 48, 49, 50, 51, 56, 57, 58, 59, 64, 65, 66, 67, 72, 73, 74, 75, 80, 81, 82, 83, 88, 89, 90, 91, 96, 97, 98, 99, 104, 105, 106, 107, 112, 113, 114, 115, 120, 121, 122, 123, 128, 129, 130, 131, 136, 137, 138, 139, 144, 145, 146, 147, 152, 153, 154, 155, 160, 161, 162, 163, 168, 169, 170, 171, 176, 177, 178, 179, 184, 185, 186, 187, 192, 193, 194, 195, 200, 201, 202, 203, 208, 209, 210, 211, 216, 217]
  • Development sets (Residue 4,5): [4, 5, 12, 13, 20, 21, 28, 29, 36, 37, 44, 45, 52, 53, 60, 61, 68, 69, 76, 77, 84, 85, 92, 93, 100, 101, 108, 109, 116, 117, 124, 125, 132, 133, 140, 141, 148, 149, 156, 157, 164, 165, 172, 173, 180, 181, 188, 189, 196, 197, 204, 205, 212, 213]
  • Test sets (Residue 6,7): [6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 94, 95, 102, 103, 110, 111, 118, 119, 126, 127, 134, 135, 142, 143, 150, 151, 158, 159, 166, 167, 174, 175, 182, 183, 190, 191, 198, 199, 206, 207, 214, 215]

Brain Cancer Data

  • Train sets: [1, 2, 3, 8, 9, 10, 11, 16, 17, 18, 19, 24, 25, 26, 27, 32, 33, 34, 35, 40, 41, 42, 43, 48, 49, 50, 51, 56, 57, 58, 59, 64, 65, 66, 67, 72, 73, 74, 75, 80, 81, 82, 83, 88, 89, 90, 91, 96, 97, 98, 99, 104, 105, 106, 107, 112, 113, 114, 115, 120, 121, 122, 123, 128, 129, 130, 131, 136, 137, 138, 139, 144, 145, 146, 147, 152, 153, 154, 155, 160, 161, 162, 163, 168, 169, 170, 171, 176, 177, 178, 179, 184, 185, 186, 187, 192, 193, 194, 195, 200, 201]
  • Development sets: [4, 5, 12, 13, 20, 21, 28, 29, 36, 37, 44, 45, 52, 53, 60, 61, 68, 69, 76, 77, 84, 85, 92, 93, 100, 101, 108, 109, 116, 117, 124, 125, 132, 133, 140, 141, 148, 149, 156, 157, 164, 165, 172, 173, 180, 181, 188, 189, 196, 197]
  • Test sets: [6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 94, 95, 102, 103, 110, 111, 118, 119, 126, 127, 134, 135, 142, 143, 150, 151, 158, 159, 166, 167, 174, 175, 182, 183, 190, 191, 198, 199]


THYME Software

The THYME system is available as part of Apache cTAKES at http://ctakes.apache.org/

Demo of the system: ctakes.apache.org -> get started -> demos -> ctakes-temporal (http://alt.qcri.org/semeval2016/task12/)

We have developed a visualization tool (THYME viz tool) available in Apache cTAKES sandbox. A prototype and details of the THYME vizualization tool was presented by Sean Finan at several annual workshops:

  • Finan, Sean. 2013. Challenges of visually representing rich temporal information of the clinical narrative. Workshop: Exploring Temporal Patterns in Electronic Health Record Data. 30th Annual Human-Computer Interaction Lab Symposium. May 22-23 2013. University of Maryland. http://www.cs.umd.edu/hcil/eventflow/workshop2013/
  • Finan, Sean. De Groen, Piet. Savova, Guergana. 2014. Narrative Event and Temporal Relation Visualization Tool. Workshop: Exploring Temporal Patterns in Electronic Health Record Data. 31st Annual Human-Computer Interaction Lab Symposium. May 29 2014. University of Maryland. http://www.cs.umd.edu/hcil/eventflow/workshop2014/
  • Finan, Sean. De Groen, Piet. Savova, Guergana. 2014. Narrative Event and Temporal Relation Visualization Tool. Natural Language Processing Workshop. Informatics for Integrating Biology & the Bedside (I2B2). 4th Annual Academic User Group Meeting. July 9 2014. Harvard Medical School.

https://www.i2b2.org/events/slides/NarrativeVisualizer.pdf


Relevant Background Papers

Relevant Papers


Reading Group

Paper Queue

2022 NAACL

Internal Presentations

Presentations


Venues for manuscript submissions

Venues for manuscript submissions/publications


Project materials

Project Charter

Tasks, leads, teams and deadlines

Progress reports

Annotations - Describes the corpus, the layers of annotations and annotation progress

Annotation Tools - Describes the progress and information pertaining to the Anafora annotation tool


Communication

  • Bi-weekly team meetings, Fri 11am-noon ET
  • Weekly methods meetings: Weds 12noon-1:30PM Eastern time

IDEAS notebook

Ideas notebook


Meeting Notes

Getting started


Contact

If you need assistance and/or if you have questions about the project, feel free to send e-mail to guergana dot savova at childrens dot harvard dot edu, martha dot palmer at colorado dot edu, or bethard at email dot arizona dot edu.