iFACETSUM: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration
2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021): PROCEEDINGS OF SYSTEM DEMONSTRATIONS(2021)
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.
MoreTranslated text
Key words
interactive faceted summarization,exploration,ifacetsum,coreference-based,multi-document
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined