%0 Conference Proceedings %T iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration %A Hirsch, Eran %A Eirew, Alon %A Shapira, Ori %A Caciularu, Avi %A Cattan, Arie %A Ernst, Ori %A Pasunuru, Ramakanth %A Ronen, Hadar %A Bansal, Mohit %A Dagan, Ido %Y Adel, Heike %Y Shi, Shuming %S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations %D 2021 %8 November %I Association for Computational Linguistics %C Online and Punta Cana, Dominican Republic %F hirsch-etal-2021-ifacetsum %X 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. %R 10.18653/v1/2021.emnlp-demo.33 %U https://aclanthology.org/2021.emnlp-demo.33 %U https://doi.org/10.18653/v1/2021.emnlp-demo.33 %P 283-297