TAILIEUCHUNG - Báo cáo khoa học: "Extracting Word Sets with Non-Taxonomical Relation"

At least two kinds of relations exist among related words: taxonomical relations and thematic relations. Both relations identify related words useful to language understanding and generation, information retrieval, and so on. However, although words with taxonomical relations are easy to identify from linguistic resources such as dictionaries and thesauri, words with thematic relations are difficult to identify because they are rarely maintained in linguistic resources. | Extracting Word Sets with Non-Taxonomical Relation Eiko Yamamoto Hitoshi Isahara Computational Linguistics Group National Institute of Information and Communications Technology 3-5 Hikaridai Seika-cho Soraku-gun Kyoto 619-0289 Japan eiko isahara @ Abstract At least two kinds of relations exist among related words taxonomical relations and thematic relations. Both relations identify related words useful to language understanding and generation information retrieval and so on. However although words with taxonomical relations are easy to identify from linguistic resources such as dictionaries and thesauri words with thematic relations are difficult to identify because they are rarely maintained in linguistic resources. In this paper we sought to extract thematically non-taxonomically related word sets among words in documents by employing case-marking particles derived from syntactic analysis. We then verified the usefulness of word sets with non-taxonomical relation that seems to be a thematic relation for information retrieval. 1. Introduction Related word sets are useful linguistic resources for language understanding and generation information retrieval and so on. In previous research on natural language processing many methodologies for extracting various relations from corpora have been developed such as the is-a relation Hearst 1992 part-of relation Berland and Charniak 1999 causal relation Girju 2003 and entailment relation Geffet and Dagan 2005 . Related words can be used to support retrieval in order to lead users to high-quality information. One simple method is to provide additional words related to the key words users have input such as an input support function within the Google search engine. What kind of relation between the key words that have been input and the additional word is effective for information retrieval As for the relations among words at least two kinds of relations exist the taxonomical relation and the thematic relation. The

• Báo cáo khoa học
• Extracting Word Sets
• Non Taxonomical Relation
• Eiko Yamamoto Hitoshi Isahara
• 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