Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Translating collocations for bilingual lexicons: a statistical approach
Computational Linguistics
Un outil multidimensionnel de l'analyse du discours
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Automatic title generation for spoken broadcast news
HLT '01 Proceedings of the first international conference on Human language technology research
Headline generation based on statistical translation
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Expert Systems with Applications: An International Journal
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This paper deals with an application of automatic titling. The aim of such application is to attribute a title for a given text. So, our application relies on three very different automatic titling methods. The first one extracts relevant noun phrases for their use as a heading, the second one automatically constructs headings by selecting words appearing in the text, and, finally, the third one uses nominalization in order to propose informative and catchy titles. Experiments based on 1048 titles have shown that our methods provide relevant titles.