Pre-trained Language Model Based Active Learning for Sentence Matching (2020.coling-main)
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| Challenge: | Existing active learning approaches for natural language processing ignore the characteristics of natural language. |
| Approach: | They propose a pre-trained language model based active learning approach for sentence matching that provides linguistic criteria to measure instances and help select more effective instances for annotation. |
| Outcome: | The proposed approach can achieve greater accuracy with fewer labeled training instances. |
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