7 papers
DiscoExplorer: An Open Interface for the Study of Multilingual Discourse Relations
Amir Zeldes
The relations connecting propositions in discourse such as cause (A because B) or concession (A although B) are a subject of intense interest in Computational Linguistics and Pragm…
Not Worth Mentioning? A Pilot Study on Salient Proposition Annotation
Amir Zeldes, Katherine Conhaim, Lauren Levine
Despite a long tradition of work on extractive summarization, which by nature aims to recover the most important propositions in a text, little work has been done on operationalizi…
What makes an entity salient in discourse?
Amir Zeldes, Jessica Lin
Entities in discourse vary in salience: main participants, objects and locations stay prominent, while others are quickly forgotten, raising questions about how humans signal and i…
Expect the Unexpected? Testing the Surprisal of Salient Entities
Jessica Lin, Amir Zeldes
Previous work examining the Uniform Information Density (UID) hypothesis has shown that while information as measured by surprisal metrics is distributed more or less evenly across…
DiscoTrack: A Multilingual LLM Benchmark for Discourse Tracking
Lanni Bu, Lauren Levine, Amir Zeldes
Recent LLM benchmarks have tested models on a range of phenomena, but are still focused primarily on natural language understanding for extraction of explicit information, such as…
GUM-SAGE: A Novel Dataset and Approach for Graded Entity Salience Prediction
Jessica Lin, Amir Zeldes
Determining and ranking the most salient entities in a text is critical for user-facing systems, especially as users increasingly rely on models to interpret long documents they on…