CLSep 23, 2021

iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration

arXiv:2109.11621v1667 citationsHas Code
Originality Synthesis-oriented
AI Analysis

This addresses the problem of multi-document exploration for users needing overviews and details, but it is incremental as it builds on existing faceted search and summarization techniques.

The paper tackled the problem of exploring topical document sets by introducing iFacetSum, a web application that integrates interactive summarization with faceted search, and user studies suggested its usefulness.

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.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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