NCU-IISR/AS-GIS: Using BERTScore and Snippet Score to Improve the Performance of Pretrained Language Model in BioASQ 10b Phase B.
Hao-Hsuan Ting|Yu Zhang|Jen-Chieh Han|Richard Tzong-Han Tsai
| Anthology ID: | DBLP:conf/clef/TingZHT22 |
|---|---|
| Volume: | Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022. |
| Year: | 2022 |
| Venue: | Conference and Labs of the Evaluation Forum (CLEF) |
| Publisher: | CEUR-WS.org |
| Pages: | 357-367 |
| URL: | https://ceur-ws.org/Vol-3180/paper-27.pdf |
| DBLP: | conf/clef/TingZHT22 |
| BibTeX: |
@inproceedings{ting-2022-ncuiisrasgis,
author = {Hao-Hsuan Ting and
Yu Zhang and
Jen-Chieh Han and
Richard Tzong-Han Tsai},
editor = {Guglielmo Faggioli and
Nicola Ferro and
Allan Hanbury and
Martin Potthast},
title = {{NCU-IISR/AS-GIS: Using BERTScore and Snippet Score to Improve the Performance of Pretrained Language Model in BioASQ 10b Phase B}},
booktitle = {{Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to - 8th, 2022}},
series = {CEUR Workshop Proceedings},
volume = {3180},
pages = {357--367},
publisher = {CEUR-WS.org},
year = {2022},
url = {https://ceur-ws.org/Vol-3180/paper-27.pdf}
}