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.

Keywords: Summarization, text processing, subjective clustering.

ACM Classification Keywords: H.3.1 Content Analysis and Indexing

Link:

AUTOMATIC GENERATION OF TITLES FOR A CORPUS OF QUESTIONS

Jesús Cardeñosa, Carolina Gallardo

http://www.foibg.com/ibs_isc/ibs-02/IBS-02-p14.pdf