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

Eran Hirsch; Alon Eirew; Ori Shapira; Avi Caciularu; Arie Cattan; Ori Ernst; Ramakanth Pasunuru; Hadar Ronen; Mohit Bansal; Ido Dagan

doi:10.18653/v1/2021.emnlp-demo.33

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

Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Scopus citations

Abstract

We introduce iFACETSUM,¹ a web application for exploring topical document sets. iFACETSUM integrates interactive summarization together with faceted search, by providing a novel faceted navigation scheme that yields abstractive summaries for the user’s selections. This approach offers both a comprehensive overview as well as concise details regarding subtopics of choice. Fine-grained facets are automatically produced based on cross-document coreference pipelines, rendering generic concepts, entities and statements surfacing in the source texts. We analyze the effectiveness of our application through small-scale user studies, which suggest the usefulness of our approach.

Original language	English
Title of host publication	EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing
Subtitle of host publication	System Demonstrations
Publisher	Association for Computational Linguistics (ACL)
Pages	283-297
Number of pages	15
ISBN (Electronic)	9781955917117
DOIs	https://doi.org/10.18653/v1/2021.emnlp-demo.33
State	Published - 2021
Event	2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2021 - Virtual, Punta Cana, Dominican Republic Duration: 7 Nov 2021 → 11 Nov 2021

Publication series

Name	EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Conference

Conference	2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2021
Country/Territory	Dominican Republic
City	Virtual, Punta Cana
Period	7/11/21 → 11/11/21

Bibliographical note

Publisher Copyright:
© 2021 Association for Computational Linguistics.

Funding

This work was supported in part by the German Research Foundation through the German-Israeli Project Cooperation (DIP, grant DA 1600/1-1); by the Israel Science Foundation (grant 1951/17); by a grant from the Israel Ministry of Science and Technology; and by grants from Intel Labs. RP and MB were supported by NSF-CAREER Award 1846185 and a Microsoft PhD Fellowship.

Funders	Funder number
DIP	DA 1600/1-1
German-Israeli Project Cooperation
Intel Labs
NSF-CAREER	1846185
Microsoft
Deutsche Forschungsgemeinschaft
Israel Science Foundation	1951/17
Ministry of science and technology, Israel

Access to Document

10.18653/v1/2021.emnlp-demo.33

https://aclanthology.org/2021.emnlp-demo.33.pdfLicense: CC BY

Cite this

Hirsch, E., Eirew, A., Shapira, O., Caciularu, A., Cattan, A., Ernst, O., Pasunuru, R., Ronen, H., Bansal, M., & Dagan, I. (2021). iFACETSUM: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. In EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (pp. 283-297). (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.emnlp-demo.33

Hirsch, Eran ; Eirew, Alon ; Shapira, Ori et al. / iFACETSUM : Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Association for Computational Linguistics (ACL), 2021. pp. 283-297 (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations).

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title = "iFACETSUM: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration",

abstract = "We introduce iFACETSUM,1 a web application for exploring topical document sets. iFACETSUM integrates interactive summarization together with faceted search, by providing a novel faceted navigation scheme that yields abstractive summaries for the user{\textquoteright}s selections. This approach offers both a comprehensive overview as well as concise details regarding subtopics of choice. Fine-grained facets are automatically produced based on cross-document coreference pipelines, rendering generic concepts, entities and statements surfacing in the source texts. We analyze the effectiveness of our application through small-scale user studies, which suggest the usefulness of our approach.",

author = "Eran Hirsch and Alon Eirew and Ori Shapira and Avi Caciularu and Arie Cattan and Ori Ernst and Ramakanth Pasunuru and Hadar Ronen and Mohit Bansal and Ido Dagan",

note = "Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics.; 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2021 ; Conference date: 07-11-2021 Through 11-11-2021",

year = "2021",

doi = "10.18653/v1/2021.emnlp-demo.33",

language = "אנגלית",

series = "EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",

publisher = "Association for Computational Linguistics (ACL)",

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Hirsch, E, Eirew, A, Shapira, O, Caciularu, A, Cattan, A, Ernst, O, Pasunuru, R, Ronen, H, Bansal, M & Dagan, I 2021, iFACETSUM: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. in EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, Association for Computational Linguistics (ACL), pp. 283-297, 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP 2021, Virtual, Punta Cana, Dominican Republic, 7/11/21. https://doi.org/10.18653/v1/2021.emnlp-demo.33

iFACETSUM: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. / Hirsch, Eran; Eirew, Alon; Shapira, Ori et al.
EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Association for Computational Linguistics (ACL), 2021. p. 283-297 (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Hirsch E, Eirew A, Shapira O, Caciularu A, Cattan A, Ernst O et al. iFACETSUM: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. In EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Association for Computational Linguistics (ACL). 2021. p. 283-297. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations). doi: 10.18653/v1/2021.emnlp-demo.33

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

Abstract

Publication series

Conference

Bibliographical note

Funding

Access to Document

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