TAILIEUCHUNG - Báo cáo khoa học: "System Demonstration of On-Demand Information Extraction"

In this paper, we will describe ODIE, the On-Demand Information Extraction system. Given a user’s query, the system will produce tables of the salient information about the topic in structured form. It produces the tables in less than one minute without any knowledge engineering by hand, . pattern creation or paraphrase knowledge creation, which was the largest obstacle in traditional IE. This demonstration is based on the idea and technologies reported in (Sekine 06). A substantial speed-up over the previous system (which required about 15 minutes to analyze one year of newspaper) was achieved through a new approach to. | System Demonstration of On-Demand Information Extraction Satoshi Sekine New York University 715 Broadway 7th floor New York NY 10003 USA sekine@ Abstract In this paper we will describe ODIE the On-Demand Information Extraction system. Given a user s query the system will produce tables of the salient information about the topic in structured form. It produces the tables in less than one minute without any knowledge engineering by hand . pattern creation or paraphrase knowledge creation which was the largest obstacle in traditional IE. This demonstration is based on the idea and technologies reported in Sekine 06 . A substantial speed-up over the previous system which required about 15 minutes to analyze one year of newspaper was achieved through a new approach to handling pattern candidates now less than one minute is required when using 11 years of newspaper corpus. In addition functionality was added to facilitate investigation of the extracted information. 1 Introduction The goal of information extraction IE is to extract information about events in structured form from unstructured texts. In traditional IE a great deal of knowledge for the systems must be coded by hand in advance. For example in the later MUC evaluations system developers spent one month for the knowledge engineering to customize the system to the given test topic. Improving portability is necessary to make Information Extraction technology useful for real users and we believe lead to a breakthrough for the application of the technology. 1 This work was conducted when the first author was a junior research scientist at New York University. Akira Oda 1 Toyohashi University of Technology 1-1 Hibarigaoka Tenpaku-cho Toyohashi Aichi 441-3580 Japan oda@ Sekine Sekine 06 proposed On-demand information extraction ODIE a system which automatically identifies the most salient structures and extracts the information on the topic the user demands. This new IE paradigm becomes

• Báo cáo khoa học
• System Demonstration
• On Demand Information Extraction
• Satoshi Sekine
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Exploiting Readymades in Linguistic Creativity
• A System Demonstration
• the Jigsaw Bard
• báo cáo ngôn ngữ
• ngôn ngữ tự nhiên
• Energetics Tests
• Agent Tests
• Removal Efficiency
• Process Streams
• Electrochemical Efficiency
• Reduction System
• Drip irrigation
• Demonstration of hybrid castor
• Hybrid castor
• Hybrid castor with onion
• Drip fertigation system
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Integrated farming systems
• Importance of constraints
• Garrett ranking technique
• Model demonstration farms
• Agroclimatic zones
• Remunerative price
• 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