CTLR@WiC-TSV: Target Sense Verification using Marked Inputs and Pre-trained Models
| Main Authors: | Moreno, Jose G., Linhares Pontes, Elvys, Dias, Gaël |
|---|---|
| Format: | Proceeding Journal |
| Bahasa: | eng |
| Terbitan: |
, 2021
|
| Online Access: |
https://zenodo.org/record/4680720 |
Daftar Isi:
- This paper describes the CTRL participation to the Target Sense Verification of the Words in Context challenge (WiC-TSV) at SemDeep6. Our strategy is based on a simplistic annotation scheme of the target words to later be classified by well-known pre-trained neural models. In particular, the marker allows to include position information to help models to correctly identify the word to disambiguate. Results on the challenge show that our strategy outperforms other participants (+11, 4 Accuracy points) and strong baselines (+1, 7 Accuracy points).