TAILIEUCHUNG - Báo cáo khoa học: "A Fast, Accurate Deterministic Parser for Chinese"

We present a novel classifier-based deterministic parser for Chinese constituency parsing. Our parser computes parse trees from bottom up in one pass, and uses classifiers to make shift-reduce decisions. Trained and evaluated on the standard training and test sets, our best model (using stacked classifiers) runs in linear time and has labeled precision and recall above 88% using gold-standard part-of-speech tags, surpassing the best published results. Our SVM parser is 2-13 times faster than state-of-the-art parsers, while producing more accurate results. . | A Fast Accurate Deterministic Parser for Chinese Mengqiu Wang Kenji Sagae Teruko Mitamura Language Technologies Institute School of Computer Science Carnegie Mellon University mengqiu sagae teruko @ Abstract We present a novel classifier-based deterministic parser for Chinese constituency parsing. Our parser computes parse trees from bottom up in one pass and uses classifiers to make shift-reduce decisions. Trained and evaluated on the standard training and test sets our best model using stacked classifiers runs in linear time and has labeled precision and recall above 88 using gold-standard part-of-speech tags surpassing the best published results. Our SVM parser is 2-13 times faster than state-of-the-art parsers while producing more accurate results. Our Maxent and DTree parsers run at speeds 40-270 times faster than state-of-the-art parsers but with 5-6 losses in accuracy. 1 Introduction and Background Syntactic parsing is one of the most fundamental tasks in Natural Language Processing NLP . In recent years Chinese syntactic parsing has also received a lot of attention in the NLP community especially since the release of large collections of annotated data such as the Penn Chinese Treebank Xue et al. 2005 . Corpus-based parsing techniques that are successful for English have been applied extensively to Chinese. Traditional statistical approaches build models which assign probabilities to every possible parse tree for a sentence. Techniques such as dynamic programming beam-search and best-first-search are then employed to find the parse tree with the highest probability. The massively ambiguous nature of wide-coverage statistical parsing coupled with cubic-time or worse algorithms makes this approach too slow for many practical applications. Deterministic parsing has emerged as an attractive alternative to probabilistic parsing offering accuracy just below the state-of-the-art in syntactic analysis of English but running in linear time Sagae and Lavie

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• A Fast
• Accurate Deterministic
• Parser for Chinese
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
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• Chuỗi ăn nhanh
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• kiến thức y học
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• Fast Context Free Parsing
• Requires Fast Boolean
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• scientific reports
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• Nuclear engineering and technology
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• The postulated initiating events of the Molten Salt Fast Reactor
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• Prototype Generation IV Sodium cooled Fast Reactor on drop performance
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