tailieunhanh - Báo cáo khoa học: "The Descent of Hierarchy, and Selection in Relational Semantics"

In many types of technical texts, meaning is embedded in noun compounds. A language understanding program needs to be able to interpret these in order to ascertain sentence meaning. We explore the possibility of using an existing lexical hierarchy for the purpose of placing words from a noun compound into categories, and then using this category membership to determine the relation that holds between the nouns. In this paper we present the results of an analysis of this method on twoword noun compounds from the biomedical domain, obtaining classification accuracy of approximately 90%. . | Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics ACL Philadelphia July 2002 pp. 247-254. The Descent of Hierarchy and Selection in Relational Semantics Barbara Rosario SIMS UC Berkeley Berkeley CA 94720 rosario@ Marti A. Hearst SIMS UC Berkeley Berkeley CA 94720 hearst@ Charles Fillmore ICSI UC Berkeley Berkeley CA 94720 fillmore@ Abstract In many types of technical texts meaning is embedded in noun compounds. A language understanding program needs to be able to interpret these in order to ascertain sentence meaning. We explore the possibility of using an existing lexical hierarchy for the purpose of placing words from a noun compound into categories and then using this category membership to determine the relation that holds between the nouns. In this paper we present the results of an analysis of this method on two-word noun compounds from the biomedical domain obtaining classification accuracy of approximately 90 . Since lexical hierarchies are not necessarily ideally suited for this task we also pose the question how far down the hierarchy must the algorithm descend before all the terms within the subhierarchy behave uniformly with respect to the semantic relation in question We find that the topmost levels of the hierarchy yield an accurate classification thus providing an economic way of assigning relations to noun compounds. 1 Introduction A major difficulty for the interpretation of sentences from technical texts is the complex structure of noun phrases and noun compounds. Consider for example this title taken from a biomedical journal abstract Open-labeled long-term study of the subcutaneous sumatriptan efficacy and tolerability in acute migraine treatment. An important step towards being able to interpret such technical sentences is to analyze the meaning of noun compounds and noun phrases more generally. With apologies to Charles Darwin. Interpretation of noun .

• Báo cáo khoa học
• The Descent of Hierarchy
• Selection in Relational Semantics
• Barbara Rosario
• 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