MaxSimE: Explaining Transformer-based Semantic Similarity via Contextualized Best Matching Token Pairs.
| Anthology ID: | DBLP:conf/sigir/BritoI23 |
|---|---|
| Volume: | Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023 |
| Year: | 2023 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2154-2158 |
| URL: | https://doi.org/10.1145/3539618.3592017 |
| DOI: | https://doi.org/10.1145/3539618.3592017 |
| DBLP: | conf/sigir/BritoI23 |
| BibTeX: |
@inproceedings{brito-2023-maxsime,
author = {Eduardo Brito and
Henri Iser},
editor = {Hsin-Hsi Chen and
Wei-Jou (Edward) Duh and
Hen-Hsen Huang and
Makoto P. Kato and
Josiane Mothe and
Barbara Poblete},
title = {{MaxSimE: Explaining Transformer-based Semantic Similarity via Contextualized Best Matching Token Pairs}},
booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}},
pages = {2154--2158},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539618.3592017},
doi = {https://doi.org/10.1145/3539618.3592017}
}