Automatic Generation of Titles for a Corpus of Questions
Authors: Cardeñosa, JesúsCarolina, Carolina URI:
http://hdl.handle.net/10525/1037 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.Publisher:
Institute of Information Theories and Applications FOI ITHEASubject: SummarizationText ProcessingSubjective ClusteringContent Analysis and Indexing
Issue Date: 2008
ISSN: 1313-0455
Language: en
Type: Article