TAILIEUCHUNG - Báo cáo khoa học: "The Role of Semantic Roles in Disambiguating Verb Senses"

We describe an automatic Word Sense Disambiguation (WSD) system that disambiguates verb senses using syntactic and semantic features that encode information about predicate arguments and semantic classes. Our system performs at the best published accuracy on the English verbs of Senseval-2. We also experiment with using the gold-standard predicateargument labels from PropBank for disambiguating fine-grained WordNet senses and course-grained PropBank framesets, and show that disambiguation of verb senses can be further improved with better extraction of semantic roles. . | The Role of Semantic Roles in Disambiguating Verb Senses Hoa Trang Dang National Institute of Standards and Technology Gaithersburg MD 20899 Martha Palmer Department of Computer and Information Science University of Pennsylvania Philadelphia PA 19104 mpalmer@ Abstract We describe an automatic Word Sense Disambiguation WSD system that disambiguates verb senses using syntactic and semantic features that encode information about predicate arguments and semantic classes. Our system performs at the best published accuracy on the English verbs of Senseval-2. We also experiment with using the gold-standard predicateargument labels from PropBank for disambiguating fine-grained WordNet senses and course-grained PropBank framesets and show that disambiguation of verb senses can be further improved with better extraction of semantic roles. 1 Introduction A word can have different meanings depending on the context in which it is used. Word Sense Disambiguation WSD is the task of determining the correct meaning sense of a word in context and several efforts have been made to develop automatic WSD systems. Early work on WSD Yarowsky 1995 was successful for easily distinguishable homonyms like bank which have multiple unrelated meanings. While homonyms are fairly tractable highly polysemous verbs which have related but subtly distinct senses pose the greatest challenge for WSD systems Palmer et al. 2001 . Verbs are syntactically complex and their syntax is thought to be determined by their underlying semantics Grimshaw 1990 Levin 1993 . Levin verb classes for example are based on the ability of a verb to occur in pairs of syntactic frames diathesis alternations different senses of a verb belong to different verb classes which have different sets of syntactic frames that are supposed to reflect underlying semantic components that constrain allowable arguments. If this is true then the correct sense of a verb should be revealed at least partially in .

• Báo cáo khoa học
• The Role of Semantic Roles
• Disambiguating Verb Senses
• Hoa Trang Dang
• 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
• Phân loại tin tự động
• 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
• Phân tích cú pháp
• Nghĩa từ vựng
• Phân giải nhập nhằng từ
• Phân loại văn bản
• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
• Văn phạm phi ngữ cảnh xác suất
• Hình thái học