Papers with conditionality annotation
Linguistically Conditioned Semantic Textual Similarity (2024.acl-long)
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| Challenge: | Semantic textual similarity (STS) is a fundamental NLP task that measures the semantic similarity between two sentences. |
| Approach: | They propose to use a conditional STS dataset to measure sentences’ similarity conditioned on a certain aspect to reduce the inherent ambiguity posed by the sentences. |
| Outcome: | The proposed method improves the performance over baselines on the C-STS dataset with over 80% F1 score. |