Survey of Query-based Text Summarization
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866909337583091712 |
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| author | Yu, Hang Han, Jiawei |
| author_facet | Yu, Hang Han, Jiawei |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2211_11548 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Survey of Query-based Text Summarization Yu, Hang Han, Jiawei Information Retrieval Computation and Language 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. |
| title | Survey of Query-based Text Summarization |
| topic | Information Retrieval Computation and Language |
| url | https://arxiv.org/abs/2211.11548 |