activity
20242026
most citedSPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolution

1 citations · 1 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CL2026

The Sum of All Summaries: PROPALIGN for Graded Proposition Salience Evaluation

Lin Ai, Emma Thronson, Katherine Conhaim +1

Identification and ranking of salient propositions in documents is indirectly involved in many AI tasks, but few papers define proposition salience scores clearly, make diverse dat…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2024

GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains

Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti +6

Work on shallow discourse parsing in English has focused on the Wall Street Journal corpus, the only large-scale dataset for the language in the PDTB framework. However, the data i…

cs.CL2024★ 1 cited

SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolution

Yilun Zhu, Siyao Peng, Sameer Pradhan +1

Singleton mentions, i.e.~entities mentioned only once in a text, are important to how humans understand discourse from a theoretical perspective. However previous attempts to incor…

cs.CL2024

GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres

Jessica Lin, Amir Zeldes

As NLP models become increasingly capable of understanding documents in terms of coherent entities rather than strings, obtaining the most salient entities for each document is not…