Paper: NOMIT: Automatic Titling by Nominalizing

ACL ID N12-1028
Title NOMIT: Automatic Titling by Nominalizing
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012
Authors

The important mass of textual documents is in perpetual growth and requires strong ap- plications to automatically process informa- tion. Automatic titling is an essential task for several applications: ?No Subject? e-mails ti- tling, text generation, summarization, and so forth. This study presents an original ap- proach consisting in titling journalistic articles by nominalizing. In particular, morphological and semantic processing are employed to ob- tain a nominalized form which has to respect titles characteristics (in particular, relevance and catchiness). The evaluation of the ap- proach, described in the paper, indicates that titles stemming from this method are informa- tive and/or catchy.