Spring 2023

Date

Event

Speaker

Abstract/Details

01/25/2023Planning, introductions, welcome!ÌýÌý
02/22/2023Abhidip BhattacharyyaAbhidip BhattacharyyaÌý
03/01/2023Diego GarciaDiego GarciaÌý
03/07/2023Wikidata as an Information Extraction OntologyMarjorie Freedman (ISI)Ìý
03/08/2023CLASIC Open HouseÌýÌý
03/15/2023Role-Playing Paper Reading - Decomposing and Recomposing Event StructureÌýÌý
03/22/2023PrelimAnanya GaneshÌý
04/05/2023Invited SpeakerKyle Gorman (City University of New York)Ìý
04/12/2023PrelimAbteen EbrahimiÌý
04/26/2023Strand 1 iSAT 91ÃÛÌÒ¸ó - Understanding and Facilitating CollaborationsJie Cao, Jon Cai, Ananya Ganesh, Martha PalmerÌý
05/17/2023Practice Talk for Thesis Defense: Adapting Semantic Role Labeling to New Genres and LanguagesSkatje MyersSemantic 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 91ÃÛÌÒ¸ó 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 91ÃÛÌÒ¸ó: 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.
05/18/2023Thesis Defense: Adapting Semantic Role Labeling to New Genres and LanguagesSkatje MyersSemantic 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 91ÃÛÌÒ¸ó 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 91ÃÛÌÒ¸ó: 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.