ICT-DCU question answering task at ntcir6 (2007)
| Venue: | In Proceedings of the Sixth NTCIR Workshop on Research in Information Access Technologies |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{Sen07ict-dcuquestion,
author = {Zhang Sen and Bin Wang},
title = {ICT-DCU question answering task at ntcir6},
booktitle = {In Proceedings of the Sixth NTCIR Workshop on Research in Information Access Technologies},
year = {2007},
pages = {154--167}
}
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Abstract
This paper describes details of our participation in the NTCIR-6 Chinese-to-Chinese Question Answering task. We use the “retrieval plus extraction approach ” to get answers for questions. We first split the documents into short passages, and then retrieve potentially relevant passages for a question, and finally extract named entity answers from the most relevant passages. For question type identification, we use simple heuristic rules which cover most questions. The Lemur toolkit was used with the okapi model for document retrieval. Results of our task submission are given and some preliminary conclusions drawn. Keywords: NTCIR, Chinese-to-Chinese Question Answering,
Citations
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| 1 | Parsing and Question Classificationfor Question Answering - Hermjakob - 2001 |
| 1 | Yi-Ming Zhu, Yun-Qi Gao, HongXiang Yin, Tongyici CiLin (Chinese Synonym - Mei - 1983 |
| 1 | LCC-DCU C-C Question Answering Task at NTCIR-5, it - Wang, Jones - 2005 |
