no code implementations • 25 Mar 2024 • Aviv Slobodkin, Eran Hirsch, Arie Cattan, Tal Schuster, Ido Dagan
Recent efforts to address hallucinations in Large Language Models (LLMs) have focused on attributed text generation, which supplements generated texts with citations of supporting sources for post-generation fact-checking and corrections.
1 code implementation • 19 Nov 2023 • Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan
Various NLP tasks require a complex hierarchical structure over nodes, where each node is a cluster of items.
coreference-resolution Cross Document Coreference Resolution
1 code implementation • 6 Jun 2023 • Arie Cattan, Lilach Eden, Yoav Kantor, Roy Bar-Haim
Key Point Analysis (KPA) has been recently proposed for deriving fine-grained insights from collections of textual comments.
no code implementations • 16 Feb 2023 • Asaf Yehudai, Arie Cattan, Omri Abend, Gabriel Stanovsky
Machine translation (MT) requires a wide range of linguistic capabilities, which current end-to-end models are expected to learn implicitly by observing aligned sentences in bilingual corpora.
1 code implementation • 23 Oct 2022 • Ruben Wolhandler, Arie Cattan, Ori Ernst, Ido Dagan
To that end, we propose an automated measure for evaluating the degree to which a summary is ``disperse'', in the sense of the number of source documents needed to cover its content.
1 code implementation • 9 Sep 2022 • Shon Otmazgin, Arie Cattan, Yoav Goldberg
We introduce fastcoref, a python package for fast, accurate, and easy-to-use English coreference resolution.
2 code implementations • 25 May 2022 • Shon Otmazgin, Arie Cattan, Yoav Goldberg
While coreference resolution typically involves various linguistic challenges, recent models are based on a single pairwise scorer for all types of pairs.
Ranked #4 on Coreference Resolution on OntoNotes
1 code implementation • EMNLP (ACL) 2021 • Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan
We introduce iFacetSum, a web application for exploring topical document sets.
1 code implementation • Joint Conference on Lexical and Computational Semantics 2021 • Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
We point out that common evaluation practices for cross-document coreference resolution have been unrealistically permissive in their assumed settings, yielding inflated results.
coreference-resolution Cross Document Coreference Resolution
1 code implementation • Findings (ACL) 2021 • Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
Here, we introduce the first end-to-end model for CD coreference resolution from raw text, which extends the prominent model for within-document coreference to the CD setting.
coreference-resolution Cross Document Coreference Resolution
2 code implementations • AKBC 2021 • Arie Cattan, Sophie Johnson, Daniel Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope
Determining coreference of concept mentions across multiple documents is a fundamental task in natural language understanding.
coreference-resolution Cross Document Coreference Resolution +1
2 code implementations • NAACL 2021 • Alon Eirew, Arie Cattan, Ido Dagan
To complement these resources and enhance future research, we present Wikipedia Event Coreference (WEC), an efficient methodology for gathering a large-scale dataset for cross-document event coreference from Wikipedia, where coreference links are not restricted within predefined topics.
no code implementations • EACL 2021 • James Ravenscroft, Amanda Clare, Arie Cattan, Ido Dagan, Maria Liakata
Cross-document co-reference resolution (CDCR) is the task of identifying and linking mentions to entities and concepts across many text documents.
1 code implementation • 29 Jan 2021 • James Ravenscroft, Arie Cattan, Amanda Clare, Ido Dagan, Maria Liakata
Cross-document co-reference resolution (CDCR) is the task of identifying and linking mentions to entities and concepts across many text documents.
2 code implementations • Findings (EMNLP) 2021 • Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan
We introduce a new pretraining approach geared for multi-document language modeling, incorporating two key ideas into the masked language modeling self-supervised objective.
Ranked #1 on Citation Recommendation on AAN test
2 code implementations • EMNLP 2020 • Aaron Bornstein, Arie Cattan, Ido Dagan
Coreference annotation is an important, yet expensive and time consuming, task, which often involved expert annotators trained on complex decision guidelines.
2 code implementations • 23 Sep 2020 • Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
Recent evaluation protocols for Cross-document (CD) coreference resolution have often been inconsistent or lenient, leading to incomparable results across works and overestimation of performance.
coreference-resolution Cross Document Coreference Resolution +2