Papers by Guirong Bai

2 papers
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.
Incremental Intent Detection for Medical Domain with Contrast Replay Networks (2022.findings-acl)

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Challenge: Existing methods to detect medical intents require fixed pre-defined intent categories . however, novel medical intent categories incessantly emerge with new data and intents in the real world .
Approach: They propose to incrementally learn emerged medical intents from continually arriving data of new intents while avoiding catastrophically forgetting old ones.
Outcome: The proposed method outperforms the state-of-the-art model on two benchmarks by 5.7% and 9.1% accuracy.

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