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Chong Min Lee
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2020 – today
- 2023
- [j2]Phillip Sangwoo Lee
, Chong Min Lee
Are South Korean College Students Benefitting from Digital Learning? Int. J. Hum. Comput. Interact. 39(4): 743-754 (2023) - 2021
- [c25]Chee Wee Leong, Xianyang Chen, Vinay Basheerabad, Chong Min Lee, Patrick Houghton:
NLP-guided Video Thin-slicing for Automated Scoring of Non-Cognitive, Behavioral Performance Tasks. ICMI 2021: 846-847
2010 – 2019
- 2019
- [c24]Rutuja Ubale, Vikram Ramanarayanan, Yao Qian, Keelan Evanini, Chee Wee Leong, Chong Min Lee:
Native Language Identification from Raw Waveforms Using Deep Convolutional Neural Networks with Attentive Pooling. ASRU 2019: 403-410 - [c23]Su-Youn Yoon, Chong Min Lee:
Content Modeling for Automated Oral Proficiency Scoring System. BEA@ACL 2019: 394-401 - [c22]Su-Youn Yoon, Chong Min Lee, Klaus Zechner, Keelan Evanini:
Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment. INTERSPEECH 2019: 1871-1875 - 2018
- [c21]Su-Youn Yoon, Anastassia Loukina, Chong Min Lee, Matthew Mulholland, Xinhao Wang, Ikkyu Choi:
Word-Embedding based Content Features for Automated Oral Proficiency Scoring. SemDeep@COLING 2018: 12-22 - 2017
- [c20]Lei Chen, Chong Min Lee:
Predicting Audience's Laughter During Presentations Using Convolutional Neural Network. BEA@EMNLP 2017: 86-90 - [c19]Brian Riordan, Andrea Horbach, Aoife Cahill, Torsten Zesch, Chong Min Lee:
Investigating neural architectures for short answer scoring. BEA@EMNLP 2017: 159-168 - [c18]Yao Qian, Keelan Evanini, Xinhao Wang, Chong Min Lee, Matthew Mulholland:
Bidirectional LSTM-RNN for Improving Automated Assessment of Non-Native Children's Speech. INTERSPEECH 2017: 1417-1421 - [c17]Chong Min Lee, Su-Youn Yoon, Xihao Wang, Matthew Mulholland, Ikkyu Choi, Keelan Evanini:
Off-Topic Spoken Response Detection Using Siamese Convolutional Neural Networks. INTERSPEECH 2017: 1427-1431 - [c16]Su-Youn Yoon, Chong Min Lee, Ikkyu Choi, Xinhao Wang, Matthew Mulholland, Keelan Evanini:
Off-Topic Spoken Response Detection with Word Embeddings. INTERSPEECH 2017: 2754-2758 - [i2]Lei Chen, Chong Min Lee:
Convolutional Neural Network for Humor Recognition. CoRR abs/1702.02584 (2017) - 2016
- [j1]Lei Chen, Gary Feng, Chee Wee Leong, Jilliam Joe, Christopher Kitchen, Chong Min Lee:
Designing An Automated Assessment of Public Speaking Skills Using Multimodal Cues. J. Learn. Anal. 3(2): 261-281 (2016) - [c15]Chong Min Lee, Su-Youn Yoon, Lei Chen:
Can We Make Computers Laugh at Talks? PEOPLES@COLING 2016: 173-181 - [c14]Lei Chen, Gary Feng, Chee Wee Leong, Blair Lehman, Michelle P. Martin-Raugh, Harrison Kell, Chong Min Lee, Su-Youn Yoon:
Automated scoring of interview videos using Doc2Vec multimodal feature extraction paradigm. ICMI 2016: 161-168 - [c13]Lei Chen, Gary Feng, Michelle P. Martin-Raugh, Chee Wee Leong, Christopher Kitchen, Su-Youn Yoon, Blair Lehman, Harrison Kell, Chong Min Lee:
Automatic Scoring of Monologue Video Interviews Using Multimodal Cues. INTERSPEECH 2016: 32-36 - [c12]Jidong Tao, Lei Chen, Chong Min Lee:
DNN Online with iVectors Acoustic Modeling and Doc2Vec Distributed Representations for Improving Automated Speech Scoring. INTERSPEECH 2016: 3117-3121 - 2015
- [c11]Lei Chen, Chee Wee Leong, Gary Feng, Chong Min Lee, Swapna Somasundaran:
Utilizing multimodal cues to automatically evaluate public speaking performance. ACII 2015: 394-400 - [c10]Swapna Somasundaran, Chong Min Lee, Martin Chodorow, Xinhao Wang:
Automated Scoring of Picture-based Story Narration. BEA@NAACL-HLT 2015: 42-48 - [c9]Chee Wee Leong, Lei Chen, Gary Feng, Chong Min Lee, Matthew Mulholland:
Utilizing Depth Sensors for Analyzing Multimodal Presentations: Hardware, Software and Toolkits. ICMI 2015: 547-556 - 2014
- [c8]Klaus Zechner, Keelan Evanini, Su-Youn Yoon, Lawrence Davis, Xinhao Wang, Lei Chen, Chong Min Lee, Chee Wee Leong:
Automated scoring of speaking items in an assessment for teachers of English as a Foreign Language. BEA@ACL 2014: 134-142 - [c7]Lei Chen, Chee Wee Leong, Gary Feng, Chong Min Lee:
Using Multimodal Cues to Analyze MLA'14 Oral Presentation Quality Corpus: Presentation Delivery and Slides Quality. MLA@ICMI 2014: 45-52 - [c6]Lei Chen, Gary Feng, Jilliam Joe, Chee Wee Leong, Christopher Kitchen, Chong Min Lee:
Towards Automated Assessment of Public Speaking Skills Using Multimodal Cues. ICMI 2014: 200-203 - [i1]Derrick Higgins, Chris Brew, Michael Heilman, Ramon Ziai, Lei Chen, Aoife Cahill, Michael Flor, Nitin Madnani, Joel R. Tetreault, Daniel Blanchard, Diane Napolitano, Chong Min Lee, John Blackmore:
Is getting the right answer just about choosing the right words? The role of syntactically-informed features in short answer scoring. CoRR abs/1403.0801 (2014) - 2010
- [c5]Chong Min Lee:
Temporal Relation Identification with Endpoints. NAACL (Student Research Workshop) 2010: 40-45 - [c4]Chong Min Lee, Manabu Torii, Zhang-Zhi Hu, Yi-Ting Tsai, Jinesh Shah, Hongfang Liu:
Evaluating gene/protein name tagging and mapping for article retrieval. Semantic Mining in Biomedicine 2010
2000 – 2009
- 2009
- [c3]Chong Min Lee, Graham Katz:
Error Analysis of the TempEval Temporal Relation Identification Task. SEW@NAACL-HLT 2009: 138-145 - 2008
- [c2]Markus Dickinson, Chong Min Lee:
Detecting Errors in Semantic Annotation. LREC 2008 - 2006
- [c1]Inderjeet Mani, Marc Verhagen, Ben Wellner, Chong Min Lee, James Pustejovsky:
Machine Learning of Temporal Relations. ACL 2006
Coauthor Index
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