Answer Extraction from Passage Graph for Question Answering
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 2169-2174.
Abstract
In question answering, answer extraction aims to pin-point the exact answer from passages. However, most previous methods perform such extraction on each passage separately, without considering clues provided in other passages. This paper presents a novel approach to extract answers by fully leveraging connections among different passages. Specially, extraction is performed on a PassageGraph which is built by adding links upon multiple passages. Different passages are connected by linking words with the same stem. We use the factor graph as our model for answer extraction. Experimental results on multiple QA datasets demonstrate that our method significantly improves the performance of answer extraction.
@inproceedings{ijcai2013p320,
title = {Answer Extraction from Passage Graph for Question Answering},
author = {Sun, Hong and Duan, Nan and Duan, Yajuan and Zhou, Ming},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {2169--2174},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/320},
}
TY - CPAPER TI - Answer Extraction from Passage Graph for Question Answering AU - Sun, Hong AU - Duan, Nan AU - Duan, Yajuan AU - Zhou, Ming T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 2169 EP - 2174 UR - https://ijcai.org/proceedings/2013/320 ER -Copied
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