Kuei-Ching Lee


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The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields
Lung-Hao Lee | Kuei-Ching Lee | Yuen-Hsien Tseng
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

This study describes the design of the NTNU system for the ScienceIE task at the SemEval 2017 workshop. We use self-defined feature templates and multiple conditional random fields with extracted features to identify keyphrases along with categorized labels and their relations from scientific publications. A total of 16 teams participated in evaluation scenario 1 (subtasks A, B, and C), with only 7 teams competing in all sub-tasks. Our best micro-averaging F1 across the three subtasks is 0.23, ranking in the middle among all 16 submissions.


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A Sentence Judgment System for Grammatical Error Detection
Lung-Hao Lee | Liang-Chih Yu | Kuei-Ching Lee | Yuen-Hsien Tseng | Li-Ping Chang | Hsin-Hsi Chen
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations