Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction

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http://hdl.handle.net/10138/155662

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Du , M & Yangarber , R 2015 , Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction . in Y Zhou (ed.) , Proceedings of the The Second International Conference on Artificial Intelligence and Pattern Recognition, Shenzhen, China, 2015 . The Society of Digital Information and Wireless Communications (SDIWC) , International Conference on Artificial Intelligence and Pattern Recognition , ShenZhen , China , 16/04/2015 .

Title: Acquisition of Domain-specific Patterns for Single Document Summarization and Information Extraction
Author: Du, Mian; Yangarber, Roman
Editor: Zhou, Yimin
Contributor: University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
Publisher: The Society of Digital Information and Wireless Communications (SDIWC)
Date: 2015-04-17
Language: eng
Number of pages: 10
Belongs to series: Proceedings of the The Second International Conference on Artificial Intelligence and Pattern Recognition, Shenzhen, China, 2015
ISBN: 978-1-941968-09-3
URI: http://hdl.handle.net/10138/155662
Abstract: Single-document summarization aims to reduce the size of a text document while preserving the most important information. Much work has been done on open-domain summarization. This paper presents an automatic way to mine domain-specific patterns from text documents. With a small amount of effort required for manual selection, these patterns can be used for domain-specific scenario-based document summarization and information extraction. Our evaluation shows that scenario-based document summarization can both filter irrelevant documents and create summaries for relevant documents within the specified domain.
Subject: 113 Computer and information sciences
Information Extraction
Machine learning
Data Mining
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