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20182022
most citediFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration

9 citations · 18 across the 5 of their papers we have counts for

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cs.CL2022

Cross-document Event Coreference Search: Task, Dataset and Modeling

Alon Eirew, Avi Caciularu, Ido Dagan

The task of Cross-document Coreference Resolution has been traditionally formulated as requiring to identify all coreference links across a given set of documents. We propose an ap…

cs.CL20219 cited

iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration

Eran Hirsch, Alon Eirew, Ori Shapira +7

We introduce iFacetSum, a web application for exploring topical document sets. iFacetSum integrates interactive summarization together with faceted search, by providing a novel fac…

cs.CL2021

Realistic Evaluation Principles for Cross-document Coreference Resolution

Arie Cattan, Alon Eirew, Gabriel Stanovsky +2

We point out that common evaluation practices for cross-document coreference resolution have been unrealistically permissive in their assumed settings, yielding inflated results. W…

cs.CL20211 cited

Cross-document Coreference Resolution over Predicted Mentions

Arie Cattan, Alon Eirew, Gabriel Stanovsky +2

Coreference resolution has been mostly investigated within a single document scope, showing impressive progress in recent years based on end-to-end models. However, the more challe…

cs.CL2021

WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia

Alon Eirew, Arie Cattan, Ido Dagan

Cross-document event coreference resolution is a foundational task for NLP applications involving multi-text processing. However, existing corpora for this task are scarce and rela…

cs.CL2020

Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling

Arie Cattan, Alon Eirew, Gabriel Stanovsky +2

Recent evaluation protocols for Cross-document (CD) coreference resolution have often been inconsistent or lenient, leading to incomparable results across works and overestimation…