Advantages of XLM-R Model for Urdu Sentiment Multi-Classification.
Mingcan Guo|Zhongyuan Han|Leilei Kong|Zhijie Zhang|Zengyao Li|Haoyang Chen|Haoliang Qi
| Anthology ID: | DBLP:conf/fire/GuoHKZLCQ22 |
|---|---|
| Volume: | Working Notes of FIRE 2022 - Forum for Information Retrieval Evaluation, Kolkata, India, December 9-13, 2022. |
| Year: | 2022 |
| Venue: | Forum for Information Retrieval Evaluation (FIRE) |
| Publisher: | CEUR-WS.org |
| Pages: | 291-297 |
| URL: | https://ceur-ws.org/Vol-3395/T4-9.pdf |
| DBLP: | conf/fire/GuoHKZLCQ22 |
| BibTeX: |
@inproceedings{guo-2022-advantages,
author = {Mingcan Guo and
Zhongyuan Han and
Leilei Kong and
Zhijie Zhang and
Zengyao Li and
Haoyang Chen and
Haoliang Qi},
editor = {Kripabandhu Ghosh and
Thomas Mandl and
Prasenjit Majumder and
Mandar Mitra},
title = {{Advantages of XLM-R Model for Urdu Sentiment Multi-Classification}},
booktitle = {{Working Notes of FIRE 2022 - Forum for Information Retrieval Evaluation, Kolkata, India, December 9-13, 2022}},
series = {CEUR Workshop Proceedings},
volume = {3395},
pages = {291--297},
publisher = {CEUR-WS.org},
year = {2022},
url = {https://ceur-ws.org/Vol-3395/T4-9.pdf}
}