Papers by Mohsen Tabasi
Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task (2022.acl-short)
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| Challenge: | Existing few-shot approaches fail on the semantic distinction task of the Word-in-Context dataset. |
| Approach: | They propose a prompt-based approach which boosts few-shot performance to the level of fully supervised methods by using similarity metrics. |
| Outcome: | The proposed technique boosts few-shot performance to the level of fully supervised methods. |