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- 小山 照夫
- 国立情報学研究所
書誌事項
- タイトル別名
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- Composite Term Extraction from Japanese Texts
- ニホンゴ テキスト カラ ノ フクゴウゴ ヨウゴ チュウシュツ
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抄録
Terms are used to describe important research concepts in academic documents, and are important to utilize the information in various research fields. In this paper, the author discuss about a method for extracting terms from academic texts based on natural language processing technique. Most of Japanese terms take composite word form, yet simple methods to extract composite terms based on current Japanese morpheme classification cannot attain enough precision. Considering internal structure of composite term candidates and the backward/ forward connective relations of the candidates in the texts, most of composite terms can be extracted with high precision. The author also discuss about the systematization of term candidates based on the nesting relations and the relationships of the candidates to various research sub-domains.
収録刊行物
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- 情報知識学会誌
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情報知識学会誌 19 (4), 306-315, 2010
情報知識学会
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詳細情報 詳細情報について
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- CRID
- 1390001204423450368
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- NII論文ID
- 10025992156
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- NII書誌ID
- AN10459774
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- ISSN
- 18817661
- 09171436
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- NDL書誌ID
- 10633411
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可