GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates.
Vibhor Agarwal|Sagar Joglekar|Anthony P. Young|Nishanth Sastry
| Anthology ID: | DBLP:conf/www/Agarwal0YS22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2729-2737 |
| URL: | https://doi.org/10.1145/3485447.3512144 |
| DOI: | https://doi.org/10.1145/3485447.3512144 |
| DBLP: | conf/www/Agarwal0YS22 |
| BibTeX: |
@inproceedings{agarwal-2022-graphnli,
author = {Vibhor Agarwal and
Sagar Joglekar and
Anthony P. Young and
Nishanth Sastry},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {2729--2737},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3512144},
doi = {https://doi.org/10.1145/3485447.3512144}
}