tailieunhanh - Báo cáo khoa học: "Integrating Pattern-based and Distributional Similarity Methods for Lexical Entailment Acquisition"

This paper addresses the problem of acquiring lexical semantic relationships, applied to the lexical entailment relation. Our main contribution is a novel conceptual integration between the two distinct acquisition paradigms for lexical relations – the patternbased and the distributional similarity approaches. The integrated method exploits mutual complementary information of the two approaches to obtain candidate relations and informative characterizing features. | Integrating Pattern-based and Distributional Similarity Methods for Lexical Entailment Acquisition Shachar Mirkin School of Computer Science and Engineering The Hebrew University Jerusalem Israel 91904 mirkin@ Abstract This paper addresses the problem of acquiring lexical semantic relationships applied to the lexical entailment relation. Our main contribution is a novel conceptual integration between the two distinct acquisition paradigms for lexical relations - the patternbased and the distributional similarity approaches. The integrated method exploits mutual complementary information of the two approaches to obtain candidate relations and informative characterizing features. Then a small size training set is used to construct a more accurate supervised classifier showing significant increase in both recall and precision over the original approaches. 1 Introduction Learning lexical semantic relationships is a fundamental task needed for most text understanding applications. Several types of lexical semantic relations were proposed as a goal for automatic acquisition. These include lexical ontological relations such as synonymy hyponymy and meronymy aiming to automate the construction of WordNet-style relations. Another common target is learning general distributional similarity between words following Harris Distributional Hypothesis Harris 1968 . Recently an applied notion of entailment between lexical items was proposed as capturing major inference needs which cut across multiple semantic relationship types see Section 2 for further background . The literature suggests two major approaches for learning lexical semantic relations distributional similarity and pattern-based. The first approach recognizes that two words or two multiword terms are semantically similar based on Ido Dagan Maayan Geffet Department of Computer Science Bar-Ilan University Ramat Gan Israel 52900 dagan zitima @ distributional similarity of the different contexts .

• Báo cáo khoa học
• Integrating Pattern based
• Distributional Similarity Methods
• Lexical Entailment Acquisition
• 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