Survey of Query-based Text Summarization
September 17, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Hang Yu, Jiawei Han
arXiv ID
2211.11548
Category
cs.IR: Information Retrieval
Cross-listed
cs.CL
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Query-based text summarization is an important real world problem that requires to condense the prolix text data into a summary under the guidance of the query information provided by users. The topic has been studied for a long time and there are many existing interesting research related to query-based text summarization. Yet much of the work is not systematically surveyed. This survey aims at summarizing some interesting work in query-based text summarization methods as well as related generic text summarization methods. Not all taxonomies in this paper exist the related work to the best of our knowledge and some analysis will be presented.
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