Search Results for author: Ori Ernst

Found 5 papers, 5 papers with code

Proposition-Level Clustering for Multi-Document Summarization

2 code implementations NAACL 2022 Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan

Text clustering methods were traditionally incorporated into multi-document summarization (MDS) as a means for coping with considerable information repetition.

Document Summarization Multi-Document Summarization +1

Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations

1 code implementation NAACL 2022 Daniela Brook Weiss, Paul Roit, Ori Ernst, Ido Dagan

NLP models that compare or consolidate information across multiple documents often struggle when challenged with recognizing substantial information redundancies across the texts.

Document Summarization Multi-Document Summarization +1

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline

1 code implementation CoNLL (EMNLP) 2021 Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan

Aligning sentences in a reference summary with their counterparts in source documents was shown as a useful auxiliary summarization task, notably for generating training data for salience detection.

Document Summarization Multi-Document Summarization

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