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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2021.emnlp-demo.33.pdf
- Code
- biu-nlp/ifacetsum
- Data
- ECB+, WEC-Eng