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

Year of Publication: 2015
Page Numbers: 30-39
Authors: Mian Du, Roman Yangarber
Conference Name: The Second International Conference on Artificial Intelligence and Pattern Recognition (AIPR2015)
- China

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.