TAILIEUCHUNG - Báo cáo khoa học: "Japanese Dependency Parsing Using Sequential Labeling for Semi-spoken Language"

The amount of documents directly published by end users is increasing along with the growth of Web . Such documents often contain spoken-style expressions, which are difficult to analyze using conventional parsers. This paper presents dependency parsing whose goal is to analyze Japanese semi-spoken expressions. One characteristic of our method is that it can parse selfdependent (independent) segments using sequential labeling. of Web . Such documents do not use controlled written language and contain fillers and emoticons. This implies that analyzing such documents is difficult for conventional parsers. . | Japanese Dependency Parsing Using Sequential Labeling for Semi-spoken Language Kenji Imamura and Genichiro Kikui NTT Cyber Space Laboratories NTT Corporation 1-1 Hikarinooka Yokosuka-shi Kanagawa 239-0847 Japan @ Norihito Yasuda NTT Communication Science Laboratories NTT Corporation 2-4 Hikaridai Seika-cho Soraku-gun Kyoto 619-0237 Japan n-yasuda@ Abstract The amount of documents directly published by end users is increasing along with the growth of Web . Such documents often contain spoken-style expressions which are difficult to analyze using conventional parsers. This paper presents dependency parsing whose goal is to analyze Japanese semi-spoken expressions. One characteristic of our method is that it can parse selfdependent independent segments using sequential labeling. 1 Introduction Dependency parsing is a way of structurally analyzing a sentence from the viewpoint of modification. In Japanese relationships of modification between phrasal units called bunsetsu segments are analyzed. A number of studies have focused on parsing of Japanese as well as of other languages. Popular parsers are CaboCha Kudo and Matsumoto 2002 and KNP Kurohashi and Nagao 1994 which were developed to analyze formal written language expressions such as that in newspaper articles. Generally the syntactic structure of a sentence is represented as a tree and parsing is carried out by maximizing the likelihood of the tree Charniak 2000 Uchimoto et al. 1999 . Units that do not modify any other units such as fillers are difficult to place in the tree structure. Conventional parsers have forced such independent units to modify other units. Documents published by end users . blogs are increasing on the Internet along with the growth 225 of Web . Such documents do not use controlled written language and contain fillers and emoticons. This implies that analyzing such documents is difficult for conventional parsers. This .

• Báo cáo khoa học
• Japanese Dependency Parsing
• Sequential Labeling
• Semi spoken Language
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Using Smaller Constituents Rather Than Sentences
• Active Learning
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Dependency Parsing of Japanese
• Spoken Monologue
• Clause Boundaries
• Co occurrence Information
• Combination of Case Elements
• A Unified Single Scan Algorithm
• Japanese Base Phrase Chunking
• Dependency Parsing
• Simultaneous English Japanese
• Spoken Language Translation Based on Incremental Dependency Parsing
• Transfer
• Bài giảng Xử lý 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