English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts.
Patrick Bareiß|Roman Klinger|Jeremy Barnes
| Anthology ID: | DBLP:conf/www/BareissKB24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1318-1326 |
| URL: | https://doi.org/10.1145/3589335.3651902 |
| DOI: | https://doi.org/10.1145/3589335.3651902 |
| DBLP: | conf/www/BareissKB24 |
| BibTeX: |
@inproceedings{bareiss-2024-english,
author = {Patrick Barei{\ss} and
Roman Klinger and
Jeremy Barnes},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {1318--1326},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651902},
doi = {https://doi.org/10.1145/3589335.3651902}
}