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


Abstract
We introduce iFᴀᴄᴇᴛSᴜᴍ, a web application for exploring topical document collections. iFᴀᴄᴇᴛSᴜᴍ 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 particular details regard-ing subtopics of choice. The 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 that suggest the usefulness of our tool.
Anthology ID:
2021.emnlp-demo.33
Volume:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
November
Year:
2021
Address:
Online and Punta Cana, Dominican Republic
Editors:
Heike Adel, Shuming Shi
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
283–297
Language:
URL:
https://aclanthology.org/2021.emnlp-demo.33
DOI:
10.18653/v1/2021.emnlp-demo.33
Bibkey:
Cite (ACL):
Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, and Ido Dagan. 2021. iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 283–297, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration (Hirsch et al., EMNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.emnlp-demo.33.pdf
Video:
 https://aclanthology.org/2021.emnlp-demo.33.mp4
Code
 biu-nlp/ifacetsum
Data
ECB+WEC-Eng