Difference between revisions of "NAACL Debrief"
From CompSemWiki
Jump to navigationJump to searchCompSemUser (talk | contribs) |
CompSemUser (talk | contribs) |
||
| Line 8: | Line 8: | ||
* William Blacoe, Elham Kashefi, Mirella Lapata. [http://aclweb.org/anthology/N/N13/N13-1105.pdf A Quantum-Theoretic Approach to Distributional Semantics]. NAACL 2013. | * William Blacoe, Elham Kashefi, Mirella Lapata. [http://aclweb.org/anthology/N/N13/N13-1105.pdf A Quantum-Theoretic Approach to Distributional Semantics]. NAACL 2013. | ||
* [http://ml.nec-labs.com/senna/ SENNA word embeddings] | * [http://ml.nec-labs.com/senna/ SENNA word embeddings] | ||
| + | * Some more on Senna: | ||
| + | * Learning Structured Embeddings of Knowledge Bases (2011). Antoine Bordes, Jason Weston, Ronan Collobert and Yoshua Bengio. in Proceedings of the 25th Conference on Artificial Intelligence (AAAI), AAAI Press. | ||
| + | * Uses knowledge bases (WordNet, Wikipedia) and corpora as information sources | ||
| + | * Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings (2011). Antoine Bordes, Xavier Glorot, Jason Weston and Yoshua Bengio. in arXiv:1107.3663v1, July 2011. [https://www.hds.utc.fr/~bordesan/dokuwiki/lib/exe/fetch.php?id=en%3Apubli&cache=cache&media=en:bordes11arxiv.pdf .pdf] | ||
| + | * Learning Structured Embeddings of Knowledge Bases (2011). Antoine Bordes, Jason Weston, Ronan Collobert and Yoshua Bengio. at The Learning Workshop (oral), Ft Lauderdale, USA, April 13-16, 2011. [https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=3&ved=0CD8QFjAC&url=https%3A%2F%2Fwww.hds.utc.fr%2F~bordesan%2Fdokuwiki%2Flib%2Fexe%2Ffetch.php%3Fid%3Den%253Apubli%26cache%3Dcache%26media%3Den%3Abordes11snowbird.pdf&ei=mIqaUbCEJai4yAGu14DgDQ&usg=AFQjCNFY5dvnoJ-AaKUqqTqKv0bYAEmTzA&sig2=20v8RTGGLxGXQ4CyP1deGQ&bvm=bv.46751780,d.aWc&cad=rja slides.pdf] | ||
| + | * Background slides about the SENNA framework: [http://www.cs.princeton.edu/courses/archive/spring10/cos424/slides/19-senna.pdf slides.pdf] | ||
== Word senses == | == Word senses == | ||
Revision as of 09:22, 10 July 2013
Annotation
- Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, Eduard Hovy. Learning Whom to Trust with MACE. NAACL 2013.
Word vector representations
- Richard Socher, John Bauer, Christopher D. Manning and Andrew Y. Ng. Parsing with Compositional Vector Grammars. ACL 2013. Paper where constituents are also assigned vectors
- Shay B. Cohen, Karl Stratos, Michael Collins, Dean P. Foster, and Lyle Ungar. Experiments with Spectral Learning of Latent-Variable PCFGs. NAACL 2013. Paper where they use absolute value to fix spectral learning.
- Tomas Mikolov, Wen-tau Yih, Geoffrey Zweig. Linguistic Regularities in Continuous Space Word Representations. NAACL 2013. Testing on analogy questions
- William Blacoe, Elham Kashefi, Mirella Lapata. A Quantum-Theoretic Approach to Distributional Semantics. NAACL 2013.
- SENNA word embeddings
* Some more on Senna:
* Learning Structured Embeddings of Knowledge Bases (2011). Antoine Bordes, Jason Weston, Ronan Collobert and Yoshua Bengio. in Proceedings of the 25th Conference on Artificial Intelligence (AAAI), AAAI Press.
* Uses knowledge bases (WordNet, Wikipedia) and corpora as information sources
* Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings (2011). Antoine Bordes, Xavier Glorot, Jason Weston and Yoshua Bengio. in arXiv:1107.3663v1, July 2011. .pdf
* Learning Structured Embeddings of Knowledge Bases (2011). Antoine Bordes, Jason Weston, Ronan Collobert and Yoshua Bengio. at The Learning Workshop (oral), Ft Lauderdale, USA, April 13-16, 2011. slides.pdf
* Background slides about the SENNA framework: slides.pdf
Word senses
- Jey Han Lau, Paul Cook and Timothy Baldwin. unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering. SemEval 2013. An hierarchical Dirichlet processing model trained for a different task wins
Relation extraction
- Sebastian Riedel, Limin Yao, Andrew McCallum, Benjamin M. Marlin. Relation Extraction with Matrix Factorization and Universal Schemas. NAACL 2013. Somewhere between Open Information Extraction and supervised relation extraction
Machine translation
- Yarin Gal, Phil Blunsom. A Systematic Bayesian Treatment of the IBM Alignment Models. NAACL 2013.
Semantic Roles
- Jiří Materna Parameter Estimation for LDA-Frames
- Jackie Chi Kit Cheung; Hoifung Poon; Lucy Vanderwende Probabilistic Frame Induction
Integrating Formal and Distributional Semantics
- Edward Grefenstette. Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors. StarSem 2013
- Islam Beltagy et. al. (UT Austin) Montague Meets Markov: Deep Semantics with Probabilistic Logical Form. StarSem 2013
Paraphrases and Semantic Textual Similarity
- Juri Ganitkevitch et. al. PPDB: The Paraphrase Database NAACL 2013
- Ioannis Korkontzelos et. al. SemEval-2013 Task 5: Evaluating Phrasal Semantics SemEval 2013
Interesting Ideas/Applications
- Marta Recasens; Marie-Catherine de Marneffe; Christopher Potts The Life and Death of Discourse Entities: Identifying Singleton Mentions best short paper
- Amnon Lotan; Asher Stern; Ido Dagan TruthTeller: Annotating Predicate Truth
