Incorporating Probabilistic Parsing into an LR Parser : LR Table Engineering (4)
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概要
- 論文の詳細を見る
We propose a probabilistic model for incorporating probability into a (G)LR parser. The model is formalized based on stack transition during parsing distinguishing it from the existing models proposed by Wright and Wrigley, and Briscoe and Carroll. Our model produces a remarkable improvement in statistical parsing with probability. Associating probabilities directly to actions in an LR parsing table, and theoretically requiring only one probability for each action promise model trainability and potential extension to other related tasks.
- 一般社団法人情報処理学会の論文
- 1997-05-26
著者
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Tokunaga Takenobu
Department of Computer Science Tokyo Institute of Technology
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INUI Kentaro
Department of Orthopaedic Surgery, Osaka City University Medical School
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Tokunaga Takenobu
Tokyo Institute Of Technology Department Of Computer Science
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Tokunaga Takenobu
Dept. Of Computer Science Tokyo Institute Of Technology
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Sornlertlamvanich Virach
Tokyo Institute Of Technology Department Of Computer Science
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Sornlertlamvanich Virach
Department Of Computer Science Graduate School Of Information Science And Engineering Tokyo Institut
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Inui Kentaro
Department Of Orthopaedic Surgery And Rheumatology Higashi-sumiyoshi Morimoto Hospital
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Takezawa T
Atr Interpreting Telecommunications Research Laboratories
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Takezawa Toshiyuki
Knowledge And Data Base Department Atr Interpreting Telephony Research Laboratories
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TAKEZAWA Toshiyuki
ATR Interpreting Telecommunications Research Laboratories
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Shirai Kiyoaki
Department of Computer Science, Tokyo Institute of Technology
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Tanaka Hozumi
Department of Computer Science, Tokyo Institute of Technology
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Shirai K
Department Of Computer Science Tokyo Institute Of Technology
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Tanaka Hozumi
Department Of Chemistry Sophia University
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