Summary of An Empirical Investigation Of Domain Adaptation Ability For Chinese Spelling Check Models, by Xi Wang et al.
An Empirical Investigation of Domain Adaptation Ability for Chinese Spelling Check Models
by Xi Wang, Ruoqing Zhao, Hongliang Dai, Piji Li
First submitted to arxiv on: 26 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this paper, researchers investigate the domain adaption ability of various Chinese Spelling Check (CSC) models by evaluating their performance on three new datasets containing domain-specific terms from the financial, medical, and legal sectors. The study finds that the performances of typical CSC models drop significantly when applied to these domains, highlighting a limitation of current CSC approaches based on general language models. To overcome this issue, the authors conduct experiments with popular large language model ChatGPT, demonstrating its potential for improving cross-domain adaptation in CSC tasks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Chinese Spelling Check is like a grammar check, but instead of fixing spelling mistakes in English, it helps fix errors in Chinese text. Right now, these spelling checks are based on general knowledge, so they might not work well when dealing with specific words and terms from certain industries. In this study, scientists created new datasets filled with special words from finance, medicine, and law, and then tested different spelling check models to see how well they worked in each domain. They found that these models didn’t do very well outside of their usual area of expertise, which is a problem. To fix this issue, the researchers looked at how well a popular AI model called ChatGPT could help improve the accuracy of Chinese Spelling Check. |
Keywords
» Artificial intelligence » Domain adaptation » Large language model
