Spring 2023 | The Boulder Natural Language Processing Group | University of Colorado Boulder

Date	Event	Speaker	Abstract/Details
01/25/2023	Planning, introductions, welcome!
02/22/2023	Abhidip Bhattacharyya	Abhidip Bhattacharyya
03/01/2023	Diego Garcia	Diego Garcia
03/07/2023	Wikidata as an Information Extraction Ontology	Marjorie Freedman (ISI)
03/08/2023	CLASIC Open House
03/15/2023	Role-Playing Paper Reading - Decomposing and Recomposing Event Structure
03/22/2023	Prelim	Ananya Ganesh
04/05/2023	Invited Speaker	Kyle Gorman (City University of New York)
04/12/2023	Prelim	Abteen Ebrahimi
04/26/2023	Strand 1 iSAT Research - Understanding and Facilitating Collaborations	Jie Cao, Jon Cai, Ananya Ganesh, Martha Palmer
05/17/2023	Practice Talk for Thesis Defense: Adapting Semantic Role Labeling to New Genres and Languages	Skatje Myers	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	Thesis Defense: Adapting Semantic Role Labeling to New Genres and Languages	Skatje Myers	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.