Sentence Compression for Minutes Creation Using Dependency Structure-based Relation Extraction
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- SATO Misa
- Hitachi, Ltd.
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- KUROTSUCHI Kenzo
- Hitachi, Ltd.
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- YANAI Kohsuke
- Hitachi, Ltd.
Bibliographic Information
- Other Title
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- 係り受け構造に基づく関係抽出を利用した議事録作成のための文短縮
Abstract
<p>We present a rule-based method for sentence compression by utilizing relation extraction which relies on a dependency tree structure. To create good meeting minutes, it is required to summarize important items such as decision and policy with minimum number of words. Our method first extracts a relation between text phrases as subtrees in the dependency tree, and then generates a sentence by combining the extracted subtrees, which results in creating a shorter sentence that contains only important items. In evaluation, we showed that the method has capability to create shorten sentences with high precision compared to a baseline method and an original sentence.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2020 (0), 4Rin116-4Rin116, 2020
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390285300166359552
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- NII Article ID
- 130007857473
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed