TAILIEUCHUNG - Báo cáo khoa học: "Extracting Lexical Reference Rules from Wikipedia"

This paper describes the extraction from Wikipedia of lexical reference rules, identifying references to term meanings triggered by other terms. We present extraction methods geared to cover the broad range of the lexical reference relation and analyze them extensively. Most extraction methods yield high precision levels, and our rule-base is shown to perform better than other automatically constructed baselines in a couple of lexical expansion and matching tasks. Our rule-base yields comparable performance to WordNet while providing largely complementary information. . | Extracting Lexical Reference Rules from Wikipedia Eyal Shnarch Libby Barak Ido Dagan Computer Science Department Dept. of Computer Science Computer Science Department Bar-Ilan University University of Toronto Bar-Ilan University Ramat-Gan 52900 Israel Toronto Canada M5S 1A4 Ramat-Gan 52900 Israel shey@ libbyb@ dagan@ Abstract This paper describes the extraction from Wikipedia of lexical reference rules identifying references to term meanings triggered by other terms. We present extraction methods geared to cover the broad range of the lexical reference relation and analyze them extensively. Most extraction methods yield high precision levels and our rule-base is shown to perform better than other automatically constructed baselines in a couple of lexical expansion and matching tasks. Our rule-base yields comparable performance to Word-Net while providing largely complementary information. 1 Introduction A most common need in applied semantic inference is to infer the meaning of a target term from other terms in a text. For example a Question Answering system may infer the answer to a question regarding luxury cars from a text mentioning Bentley which provides a concrete reference to the sought meaning. Aiming to capture such lexical inferences we followed Glickman et al. 2006 which coined the term lexical reference LR to denote references in text to the specific meaning of a target term. They further analyzed the dataset of the First Recognizing Textual Entailment Challenge Da-gan et al. 2006 which includes examples drawn from seven different application scenarios. It was found that an entailing text indeed includes a concrete reference to practically every term in the entailed inferred sentence. The lexical reference relation between two terms may be viewed as a lexical inference rule denoted LHS RHS. Such rule indicates that the left-hand-side term would generate a reference in some texts to a possible meaning of the right .

• Báo cáo khoa học
• Extracting Lexical
• Reference Rules from Wikipedia
• Ido Dagan Libby Barak Eyal Shnarch
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Extracting Comparative Sentences
• Korean Text Documents Using Comparative Lexical Patterns
• Machine Learning Techniques
• Combining Lexical
• Syntactic
• Semantic Features
• Maximum Entropy Models
• Extracting Relations
• mô hình ngôn ngữ
• 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