tailieunhanh - Báo cáo khoa học: "CORPUS-BASED ACQUISITION OF RELATIVE PRONOUN DISAMBIGUATION HEURISTICS"

This paper presents a corpus-based approach for deriving heuristics to locate the antecedents of relative pronouns. The technique dupficates the performance of hand-coded rules and requires human intervention only during the training phase. Because the training instances are built on parser output rather than word cooccurrences, the technique requires a small number of training examples and can be used on small to medium-sized corpora. | CORPUS-BASED ACQUISITION OF RELATIVE PRONOUN DISAMBIGUATION HEURISTICS ClaireCardie Department of Computer Sdence University of Massachusetts Amherst MA 01003 E-mail cardie@ ABSTRACT This paper presents a corpus-based approach for deriving heuristics to locate the antecedents of relative pronouns. The technique duplicates the performance of hand-coded rules and requữes human intervention only during the training phase. Because the training instances are built on parser output rather than word cooccurrences the technique requữes a small number of training examples and can be used on small to medium-sized corpora. Our initial results suggest that the approach may provide a general method for the automated acquisition of a variety of disambiguation heuristics for natural language systems especially for problems that require the assimilation of syntactic and semantic knowledge. 1 INTRODUCTION State-of-the-art natural language processing NLP systems typically rely on heuristics to resolve many classes of ambiguities . prepositional phrase attachment part of speech disambiguation word sense disambiguation conjunction pronoun resolution and concept activation. However the manual encoding of these heuristics either as part of a formal grammar or as a set of disambiguation rules is difficult because successful heuristics demand the assimilation of complex syntactic and semantic knowledge. Consider for example the problem of prepositional phrase attachment. A number of purely structural solutions have been proposed including the theories of Minimal Attachment Frazier 1978 and Right Association Kimball 1973 . While these models may suggest the existence of strong syntactic preferences in effect during sentence understanding other studies provide clear evidence that purely syntactic heuristics for prepositional phrase attachment will not work see Whittemore Ferrara Brunner 1990 Taraban McClelland 1988 . However computational linguists have found the manual .

• Báo cáo khoa học
• CORPUS BASED ACQUISITION
• RELATIVE PRONOUN
• DISAMBIGUATION HEURISTICS
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Bài giảng Xử lý ngôn ngữ tự nhiên
• Ngôn ngữ tự nhiên
• Kỹ thuật lập trình
• Xử lý nhập nhằng ngữ nghĩa
• Xử lý ngữ nghĩa
• Xử lý ngôn ngữ
• Natural Language Processing
• Ngôn ngữ lập trình
• Nhập nhằng cấu trúc
• Tri thức về ngôn ngữ
• Mô hình n gram
• Dịch máy
• Phương pháp dịch máy
• Hiểu ngôn ngữ
• Phân tích ngữ nghĩa
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• Biểu diễn vị từ
• Thuộc tính về sự kiện
• Thuộc tính về sự kiện
• Mô hình ngôn ngữ Google Book N grams
• Mô hình ngôn ngữ KenLM
• Phương pháp làm mịn
• Tách từ tiếng Việt
• Gán nhãn từ loại
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• Phân giải nhập nhằng từ
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• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
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• Hình thái học