Constructing a temporal relation identification system of Chinese based on dependency structure analysis (自然言語処理)
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概要
- 論文の詳細を見る
We propose a machine learning-based temporal relation identification method for Chinese. Our research is the first work of the temporal relation identification between verbal events in Chinese texts. The procedure of the temporal relation identification is based on the use of syntactic dependency relations. We focus on the adjacent event pairs, head-modifier event pairs and sibling event pairs in dependency relation. Then, the extracted relations are used to extend the long distance relations by the inference rules. We survey the coverage of our system with a small corpus. The result shows that our proposed system covers about 52% of temporal relations of all possible event pairs(the top line coverage is 65%).
- 2008-03-27
著者
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鄭 育昌
奈良先端科学技術大学院大学情報科学研究科
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Matsumoto Yuji
Graduate School Of Agricultural And Life Sciences The University Of Tokyo
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Asahara Masayuki
Graduate School Of Infomation Science Nara Institute Science And Technology
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Asahara Masayuki
Graduate School Of Information Science Nara Institute Of Science And Technology
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Matsumoto Yuji
Graduate School Of Information Science Nara Institute Of Science And Technology
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CHENG Yuchang
Graduate School of Information Science Nara Institute of Science and Technology
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