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
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.
BibTeX
@inproceedings{hirsch-etal-2021-ifacetsum,
title = "i{F}acet{S}um: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration",
author = "Hirsch, Eran and
Eirew, Alon and
Shapira, Ori and
Caciularu, Avi and
Cattan, Arie and
Ernst, Ori and
Pasunuru, Ramakanth and
Ronen, Hadar and
Bansal, Mohit and
Dagan, Ido",
editor = "Adel, Heike and
Shi, Shuming",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
month = nov,
year = "2021",
address = "Online and Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-demo.33/",
doi = "10.18653/v1/2021.emnlp-demo.33",
pages = "283--297"
}