Sentence Extraction by Spreading Activation through Sentence Similarity

Naoaki OKAZAKI  Yutaka MATSUO  Naohiro MATSUMURA  Mitsuru ISHIZUKA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E86-D   No.9   pp.1686-1694
Publication Date: 2003/09/01
Online ISSN: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Text Processing for Information Access)
Category: 
Keyword: 
summarization,  extraction,  sentence similarity,  spreading activation,  

Full Text: PDF(831.3KB)
>>Buy this Article


Summary: 
Although there has been a great deal of research on automatic summarization, most methods rely on statistical methods, disregarding relationships between extracted textual segments. We propose a novel method to extract a set of comprehensible sentences which centers on several key points to ensure sentence connectivity. It features a similarity network from documents with a lexical dictionary, and spreading activation to rank sentences. We show evaluation results of a multi-document summarization system based on the method participating in a competition of summarization, TSC (Text Summarization Challenge) task, organized by the third NTCIR project.