TAILIEUCHUNG - Báo cáo khoa học: "Dependency Parsing of Japanese Spoken Monologue Based on Clause Boundaries"

Spoken monologues feature greater sentence length and structural complexity than do spoken dialogues. To achieve high parsing performance for spoken monologues, it could prove effective to simplify the structure by dividing a sentence into suitable language units. This paper proposes a method for dependency parsing of Japanese monologues based on sentence segmentation. In this method, the dependency parsing is executed in two stages: at the clause level and the sentence level. | Dependency Parsing of Japanese Spoken Monologue Based on Clause Boundaries Tomohiro Ohnota Shigeki Matsubarai Hideki Kashioka Takehiko Maruyama and Yasuyoshi Inagakk tGraduate School of Information Science Nagoya University Japan iInformation Technology Center Nagoya University Japan ATR Spoken Language Communication Research Laboratories Japan The National Institute for Japanese Language Japan Faculty of Information Science and Technology Aichi Prefectural University Japan a ohno@ Abstract Spoken monologues feature greater sentence length and structural complexity than do spoken dialogues. To achieve high parsing performance for spoken monologues it could prove effective to simplify the structure by dividing a sentence into suitable language units. This paper proposes a method for dependency parsing of Japanese monologues based on sentence segmentation. In this method the dependency parsing is executed in two stages at the clause level and the sentence level. First the dependencies within a clause are identified by dividing a sentence into clauses and executing stochastic dependency parsing for each clause. Next the dependencies over clause boundaries are identified stochastically and the dependency structure of the entire sentence is thus completed. An experiment using a spoken monologue corpus shows this method to be effective for efficient dependency parsing of Japanese monologue sentences. 1 Introduction Recently monologue data such as a lecture and commentary by a professional have been considered as human valuable intellectual property and have gathered attention. In applications such as automatic summarization machine translation and so on for using these monologue data as intellectual property effectively and efficiently it is necessary not only just to accumulate but also to structure the monologue data. However few attempts have been made to parse spoken mono logues. Spontaneously spoken monologues include a lot of grammatically .

• Báo cáo khoa học
• Dependency Parsing of Japanese
• Spoken Monologue
• Clause Boundaries
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Using Smaller Constituents Rather Than Sentences
• Active Learning
• Japanese Dependency Parsing
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• 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
• Sequential Labeling
• Semi spoken Language
• 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