TAILIEUCHUNG - Báo cáo khoa học: "An Ontology–Based Approach for Key Phrase Extraction"

Automatic key phrase extraction is fundamental to the success of many recent digital library applications and semantic information retrieval techniques and a difficult and essential problem in Vietnamese natural language processing (NLP). In this work, we propose a novel method for key phrase extracting of Vietnamese text that exploits the Vietnamese Wikipedia as an ontology and exploits specific characteristics of the Vietnamese language for the key phrase selection stage. | An Ontology-Based Approach for Key Phrase Extraction Chau Q. Nguyen HCM University of Industry 12 Nguyen Van Bao St Go Vap Dist HCMC Vietnam chauqn@ Tuoi T. Phan HCMC University of Technology 268 Ly Thuong Kiet St Dist 10 HCMC Vietnam tuoi@ Abstract Automatic key phrase extraction is fundamental to the success of many recent digital library applications and semantic information retrieval techniques and a difficult and essential problem in Vietnamese natural language processing NLP . In this work we propose a novel method for key phrase extracting of Vietnamese text that exploits the Vietnamese Wikipedia as an ontology and exploits specific characteristics of the Vietnamese language for the key phrase selection stage. We also explore NLP techniques that we propose for the analysis of Vietnamese texts focusing on the advanced candidate phrases recognition phase as well as part-of-speech POS tagging. Finally we review the results of several experiments that have examined the impacts of strategies chosen for Vietnamese key phrase extracting. 1 Introduction Key phrases which can be single keywords or multiword key terms are linguistic descriptors of documents. They are often sufficiently informative to allow human readers get a feel for the essential topics and main content included in the source documents. Key phrases have also been used as features in many text-related applications such as text clustering document similarity analysis and document summarization. Manually extracting key phrases from a number of documents is quite expensive. Automatic key phrase extraction is a maturing technology that can serve as an efficient and practical alternative. In this paper we present an ontology-based approach to building a Vietnamese key phrase extraction system for Vietnamese text. The rest of the paper is organized as follows Section 2 states the problem as well as describes its scope Section 3 introduces resources of information in Wikipedia that

• Báo cáo khoa học
• An Ontology–Based Approach
• Key Phrase Extraction
• Chau Q
• Nguyen
• báo cáo khoa học
• báo cáo 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 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