TAILIEUCHUNG - Báo cáo khoa học: "Learning Meronyms from Biomedical Text"

The part-whole relation is of special importance in biomedicine: structure and process are organised along partitive axes. Anatomy, for example, is rich in partwhole relations. This paper reports preliminary experiments on part-whole extraction from a corpus of anatomy definitions, using a fully automatic iterative algorithm to learn simple lexico-syntactic patterns from multiword terms. The experiments show that meronyms can be extracted using these patterns. A failure analysis points out factors that could contribute to improvements in both precision and recall, including pattern generalisation, pattern pruning, and term matching. . | Learning Meronyms from Biomedical Text Angus Roberts Department of Computer Science University of Sheffield Regent Court 211 Portobello Street Sheffield S1 4DP Abstract The part-whole relation is of special importance in biomedicine structure and process are organised along partitive axes. Anatomy for example is rich in partwhole relations. This paper reports preliminary experiments on part-whole extraction from a corpus of anatomy definitions using a fully automatic iterative algorithm to learn simple lexico-syntactic patterns from multiword terms. The experiments show that meronyms can be extracted using these patterns. A failure analysis points out factors that could contribute to improvements in both precision and recall including pattern generalisation pattern pruning and term matching. The analysis gives insights into the relationship between domain terminology and lexical relations and into evaluation strategies for relation learning. 1 Introduction We are used to seeing words listed alphabetically in dictionaries. In terms of meaning this ordering has little relevance beyond shared roots. In the OED jam is sandwiched between jalpaite a sulphide and jama a cotton gown . It is a long way from bread and raspberry1. Vocabularies however do have a natural structure one that we rely on for language understanding. This structure is defined in part by lexical or sense relations 1Oxford English Dictionary Second Edition 1989. such as the familiar relations of synonymy and hyponymy Cruse 2000 . Meronymy relates the lexical item for a part to that for a whole equivalent to the conceptual relation of partOf2. Example 1 shows a meronym. When we read the text we understand that the frontal lobes are not a new entity unrelated to what has gone before but part of the previously mentioned brain. 1 MRI sections were taken through the brain. Frontal lobe shrinkage suggests a generalised cerebral atrophy. The research described in this paper considers

• Báo cáo khoa học
• Learning Meronyms
• Biomedical Text
• Angus Roberts
• 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