JACIII Vol.17 No.2 pp. 185-193
doi: 10.20965/jaciii.2013.p0185


Tag Line Generating System Using Information on the Web

Hiroaki Yamane and Masafumi Hagiwara

The Department of Information and Computer Science, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan

November 17, 2012
January 28, 2013
March 20, 2013
sentence generation, tag lines, web information, text mining, N-gram

This paper proposes a tag line generating systemusing information extracted from the web. Tag lines sometimes attract attention even when they consist of indirect word group of the target. We use web information to extract hidden data and use several tag line corpora to collect a large number of tag lines. First, knowledge related to the input is obtained from the web. Then, the proposed system selects suitable words according to the theme. Also, model tag lines are selected from the corpora using the knowledge. By inserting nouns, verbs and adjectives into model tag lines’ structure, candidate sentences are generated. These tag line candidates are selected by the suitability as a sentence using a text N-gram corpus. The subjective experiment measures the quality of system-generated tag lines and some of them are quite comparable to human-made ones.

Cite this article as:
Hiroaki Yamane and Masafumi Hagiwara, “Tag Line Generating System Using Information on the Web,” J. Adv. Comput. Intell. Intell. Inform., Vol.17, No.2, pp. 185-193, 2013.
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