Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering.
Haotian Zhang|Jinfeng Rao|Jimmy Lin|Mark D. Smucker
| Anthology ID: | DBLP:conf/sigir/ZhangRLS17 |
|---|---|
| Volume: | Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017 |
| Year: | 2017 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 797-800 |
| URL: | https://doi.org/10.1145/3077136.3080645 |
| DOI: | https://doi.org/10.1145/3077136.3080645 |
| DBLP: | conf/sigir/ZhangRLS17 |
| BibTeX: |
@inproceedings{zhang-2017-automatically,
author = {Haotian Zhang and
Jinfeng Rao and
Jimmy Lin and
Mark D. Smucker},
editor = {Noriko Kando and
Tetsuya Sakai and
Hideo Joho and
Hang Li and
Arjen P. de Vries and
Ryen W. White},
title = {{Automatically Extracting High-Quality Negative Examples for Answer Selection in Question Answering}},
booktitle = {{Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017}},
pages = {797--800},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3077136.3080645},
doi = {https://doi.org/10.1145/3077136.3080645}
}