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.
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CITATION STYLE
Hirsch, E., Eirew, A., Shapira, O., Caciularu, A., Cattan, A., Ernst, O., … 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). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.emnlp-demo.33
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