Summarization Text Processing Subjective Clustering Content Analysis and Indexing
Institute of Information Theories and Applications FOI ITHEA
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.