Papers by Lung-Hao Lee
Building a TOCFL Learner Corpus for Chinese Grammatical Error Diagnosis (L18-1)
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| Challenge: | Annotated learner corpus is valuable for research in second language acquisition, foreign language teaching, and contrastive interlanguage analysis. |
| Approach: | They construct a TOCFL learner corpus and use it for Chinese grammatical error diagnosis. |
| Outcome: | The constructed corpus is available to the public and will be used for shared tasks on Chinese grammatical error diagnosis. |
DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis (2026.acl-long)
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Lung-Hao Lee, Liang-Chih Yu, Natalia V Loukachevitch, Ilseyar Alimova, Alexander Panchenko, Tzu-Mi Lin, Zhe-Yu Xu, Jian-Yu Zhou, Guangmin Zheng, Jin Wang, Sharanya Awasthi, Jonas Becker, Jan Philip Wahle, Terry Ruas, Shamsuddeen Hassan Muhammad, Saif M. Mohammad
| Challenge: | Existing ABSA research relies on coarse-grained categorical labels, which limits its ability to capture nuanced affective states. |
| Approach: | They propose a dimensional approach that represents sentiment with continuous valence–arousal (VA) scores, enabling fine-grained analysis at both the aspect and sentiment levels. |
| Outcome: | The proposed approach represents sentiment with continuous valence–arousal (VA) scores, enabling fine-grained analysis at both the aspect and sentiment levels. |