Lei Huang


2020

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The Medical Scribe: Corpus Development and Model Performance Analyses
Izhak Shafran | Nan Du | Linh Tran | Amanda Perry | Lauren Keyes | Mark Knichel | Ashley Domin | Lei Huang | Yu-hui Chen | Gang Li | Mingqiu Wang | Laurent El Shafey | Hagen Soltau | Justin Stuart Paul
Proceedings of the Twelfth Language Resources and Evaluation Conference

There is a growing interest in creating tools to assist in clinical note generation using the audio of provider-patient encounters. Motivated by this goal and with the help of providers and medical scribes, we developed an annotation scheme to extract relevant clinical concepts. We used this annotation scheme to label a corpus of about 6k clinical encounters. This was used to train a state-of-the-art tagging model. We report ontologies, labeling results, model performances, and detailed analyses of the results. Our results show that the entities related to medications can be extracted with a relatively high accuracy of 0.90 F-score, followed by symptoms at 0.72 F-score, and conditions at 0.57 F-score. In our task, we not only identify where the symptoms are mentioned but also map them to canonical forms as they appear in the clinical notes. Of the different types of errors, in about 19-38% of the cases, we find that the model output was correct, and about 17-32% of the errors do not impact the clinical note. Taken together, the models developed in this work are more useful than the F-scores reflect, making it a promising approach for practical applications.

2015

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Chinese Spelling Check System Based on N-gram Model
Weijian Xie | Peijie Huang | Xinrui Zhang | Kaiduo Hong | Qiang Huang | Bingzhou Chen | Lei Huang
Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing

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Sentence-level Emotion Classification with Label and Context Dependence
Shoushan Li | Lei Huang | Rong Wang | Guodong Zhou
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

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Semi-Stacking for Semi-supervised Sentiment Classification
Shoushan Li | Lei Huang | Jingjing Wang | Guodong Zhou
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

2014

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Chinese Spelling Check System Based on Tri-gram Model
Qiang Huang | Peijie Huang | Xinrui Zhang | Weijian Xie | Kaiduo Hong | Bingzhou Chen | Lei Huang
Proceedings of the Third CIPS-SIGHAN Joint Conference on Chinese Language Processing