Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1037

 Title: Automatic Generation of Titles for a Corpus of Questions Authors: Cardeñosa, JesúsCarolina, Carolina Keywords: SummarizationText ProcessingSubjective ClusteringContent Analysis and Indexing Issue Date: 2008 Publisher: Institute of Information Theories and Applications FOI ITHEA Abstract: This paper describes the followed methodology to automatically generate titles for a corpus of questions that belong to sociological opinion polls. Titles for questions have a twofold function: (1) they are the input of user searches and (2) they inform about the whole contents of the question and possible answer options. Thus, generation of titles can be considered as a case of automatic summarization. However, the fact that summarization had to be performed over very short texts together with the aforementioned quality conditions imposed on new generated titles led the authors to follow knowledge-rich and domain-dependent strategies for summarization, disregarding the more frequent extractive techniques for summarization. URI: http://hdl.handle.net/10525/1037 ISSN: 1313-0455 Appears in Collections: Book 2 Advanced Research in Artificial Intelligence

Files in This Item:

File Description SizeFormat