iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
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Abstract (arXiv)
We introduce iFacetSum, 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.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 15 of its 50 references that are in the map. First posted on arXiv 23 Sep 2021.
Builds on
15 of 50 references.
References · 15
- 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
- 2019SpanBERT: Improving Pre-training by Representing and Predicting Spanscited by 834
- 2018CoQA: A Conversational Question Answering Challengecited by 683
- 2018AllenNLP: A Deep Semantic Natural Language Processing Platformcited by 347
- 2019Coreference Resolution as Query-based Span Predictioncited by 91
- 2019Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolutioncited by 43
- 2018Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Modelscited by 39
- 2021Cross-document Coreference Resolution over Predicted Mentionscited by 29
- 2021WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipediacited by 23
- 2018Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularizationcited by 22
- 2020SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific searchcited by 17
- 2020Understanding Points of Correspondence between Sentences for Abstractive Summarizationcited by 16
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Citing papers per year: 2022: 3; 2023: 2; 2024: 2; 2025: 0; 2026: 1.
8 papers.
- 2023Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answeringcited by 28
- 2022EntSUM: A Data Set for Entity-Centric Summarizationcited by 22
- 2022Controlled Text Reductioncited by 10
- 2024SEAM: A Stochastic Benchmark for Multi-Document Taskscited by 8
- 2023Unbalanced Optimal Transport for Unbalanced Word Alignmentcited by 6
- 2024PerSEval: Assessing Personalization in Text Summarizerscited by 3
- 2022Towards Proactive Information Retrieval in Noisy Text with Wikipedia Conceptscited by 1
- 2026SUMMPILOT: Bridging Efficiency and Customization for Interactive Summarization Systemcited by 0
- 2026SUMMPILOT: Bridging Efficiency and Customization for Interactive Summarization System13 Jan 2026
- 2024PerSEval: Assessing Personalization in Text Summarizers29 Jun 2024
- 2024SEAM: A Stochastic Benchmark for Multi-Document Tasks23 Jun 2024
- 2023Unbalanced Optimal Transport for Unbalanced Word Alignment7 Jun 2023
- 2023Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering24 May 2023
- 2022Controlled Text Reduction24 Oct 2022
- 2022Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts18 Oct 2022
- 2022EntSUM: A Data Set for Entity-Centric Summarization5 Apr 2022