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- 向仲 景
- 江戸川大学社会学部環境情報学科
書誌事項
- タイトル別名
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- A Model for Analyzing Structures of Coherence Relations Using Features of Verbs and Subjects
- シュタイ ト ドウシ ノ ゾクセイ ニ モトヅク フクブン ノ レンセツ コウゾウ ノ カイセキ
この論文をさがす
抄録
The model proposed in this paper analyzes meanings of coherence relations using features of verbs and subjects in Japanese complex sentences, and then analyzes structures of coherence relations using the meanings of coherence relation. Dependency structures of Japanese complex sentences are usually analyzed using hierarchical classification of conjunctions and conjunctive particles. But, conjunctions and conjunctive particles usually have multiple senses and are ambiguous. If a conjunction or conjunctive particle in a subordinate clause has a different sense, the subordinate clause may modify a predicate in a different clause. So, the model analyzes the coherence relations between subordinate clauses and a main clause using the features of verbs and subjects, and defines the meanings of coherence relations. Then the meanings of coherence relations are classified according to distance of coherence. The model uses this classification of coherence relations to analyze the structures of coherence relations. Volition, aspect, mood, voice and semantic category etc.are used as the features of verbs, and animate or inanimate etc. is used as the features of subjects. The model is evaluated by examples from actual documents, and shows 98.4% accuracy. Since the model using the classification of conjunctions and conjunctive particles shows 97.0% accuracy with the same examples, the model proposed in this paper, decreases the error rate by half.
収録刊行物
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- 自然言語処理
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自然言語処理 9 (2), 23-43, 2002
一般社団法人 言語処理学会
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詳細情報 詳細情報について
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- CRID
- 1390001204476292480
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- NII論文ID
- 10010197722
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- NII書誌ID
- AN10472659
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- ISSN
- 21858314
- 13407619
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- NDL書誌ID
- 6136528
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可