@inproceedings{e763b3a302fb45ec84b6becf1e034fd6,
title = "Phrase-based definitional question answering using definition terminology",
abstract = "We propose a definitional question answering method using linguistic information and definition terminology-based ranking. We introduce syntactic definition patterns which are easily constructed and reduce the coverage problem. Phrases are extracted using the syntactic patterns, and the redundancy is eliminated based on lexical overlap and semantic matching. In order to rank the phrases, we used several evidences including external definitions and definition terminology. Although external definitions are useful, it is obvious that they cannot cover all the possible targets. The definition terminology score, reflecting how the phrase is definition-like, is devised to assist the incomplete external definitions. Experimental results support our method is effective.",
author = "Han, \{Kyoung Soo\} and Song, \{Young In\} and Kim, \{Sang Bum\} and Rim, \{Hae Chang\}",
year = "2005",
doi = "10.1007/11562382\_19",
language = "English",
isbn = "3540291865",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "246--259",
booktitle = "Information Retrieval Technology - Second Asia Information Retrieval Symposium, AIRS 2005, Proceedings",
note = "2nd Asia Information Retrieval Symposium, AIRS 2005 ; Conference date: 13-10-2005 Through 15-10-2005",
}