Semantic Ambiguity Detection in Sentence Classification using Task-Specific Embeddings (2023.acl-industry)
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| Challenge: | ambiguity is a major obstacle to providing services based on sentence classification . authors use similarity in a semantic space to detect ambiguities in training data and scenarios . |
| Approach: | They use similarity in a semantic space to detect ambiguities in service scenarios and training data. |
| Outcome: | The proposed approach can detect ambiguities and debug services. |
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| Challenge: | Existing methods to learn fixed-length embeddings for sentence semantics require large computational cost, making it difficult to process billions of sentences cost-efficiently or deploy models on resource-constrained devices such as smartphones. |
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