Meeting Schedule

Location: Hybrid - Buchanan 430, and the zoom link below

Time: Wednesdays at 10:30am, Mountain Time

Zoom link: https://cuboulder.zoom.us/j/97014876908

Date	Title
08/30/23	Planning, introductions, welcome!
09/06/2023	ACL talk videos
09/13/2023	Ongoing projects talks
09/20/2023	TBD
09/27/2023	TBD
10/04/2023	TBD
10/11/2023	TBD
10/18/2023	TBD
10/25/2023	TBD
10/25/2023	TBD
11/29/2023	Spring break -- no meeting!
04/05/2023	Kyle Gorman (invited speaker; City University of New York)
04/12/2023	Abteen Ebrahimi: prelim
04/19/2023	Jon Cai: proposal defense CANCELLED
04/26/2023	Elizabeth Spaulding: proposal defense Strand 1 iSAT Research - Understanding and Facilitating Collaborations - Jie Cao, Jon Cai, Ananya Ganesh, Martha Palmer
05/03/2023	Sameer Pradhan, GRAIL—Generalized Representation and Aggregation of Information Layers MOVED TO FALL 2023
05/17/2023	Skatje Myers, Practice Talk for Thesis Defense - Adapting Semantic Role Labeling to New Genres and Languages Abstract: Semantic role labeling (SRL) is the identification of semantic predicates and their participants within a sentence, which is vital for deeper natural language understanding. Current SRL models require annotated text for training, but this is unavailable in many domains and languages. We explore two different ways of reducing the annotation required to produce effective SRL models: 1) using active learning to target only the most informative training instances and 2) leveraging parallel sentences to project SRL annotations from one language into the target language.
05/18/2023	11am-1pm MT: Skatje Myers, REAL Thesis Defense - Adapting Semantic Role Labeling to New Genres and Languages. Abstract: Semantic role labeling (SRL) is the identification of semantic predicates and their participants within a sentence, which is vital for deeper natural language understanding. Current SRL models require annotated text for training, but this is unavailable in many domains and languages. We explore two different ways of reducing the annotation required to produce effective SRL models: 1) using active learning to target only the most informative training instances and 2) leveraging parallel sentences to project SRL annotations from one language into the target language.

Past Schedules

• Spring 2023 Schedule
• Fall 2022 Schedule
• Spring 2022 Schedule
• Fall 2021 Schedule
• Spring 2021 Schedule
• Fall 2020 Schedule
• Spring 2020 Schedule
• Fall 2019 Schedule
• Spring 2019 Schedule
• Fall 2018 Schedule
• Summer 2018 Schedule
• Spring 2018 Schedule
• Fall 2017 Schedule
• Summer 2017 Schedule
• Spring 2017 Schedule
• Fall 2016 Schedule
• Spring 2016 Schedule
• Fall 2015 Schedule
• Spring 2015 Schedule
• Fall 2014 Schedule
• Spring 2014 Schedule
• Fall 2013 Schedule
• Summer 2013 Schedule
• Spring 2013 Schedule
• Fall 2012 Schedule
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• Fall 2010 Schedule
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• Fall 2009 Schedule
• Summer 2009 Schedule
• Spring 2009 Schedule
• Fall 2008 Schedule
• Summer 2008 Schedule