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Chee Wee Leong
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2020 – today
- 2024
- [j5]Bimasena Putra, Kurniawati Azizah, Candy Olivia Mawalim, Ikhlasul Akmal Hanif, Sakriani Sakti, Chee Wee Leong, Shogo Okada:
MAG-BERT-ARL for Fair Automated Video Interview Assessment. IEEE Access 12: 145188-145205 (2024) - [c40]Andrew Emerson, Arti Ramesh, Patrick Houghton, Vinay Basheerabad, Navaneeth Jawahar, Chee Wee Leong:
Multimodal, Multi-Class Bias Mitigation for Predicting Speaker Confidence. EDM 2024 - [c39]Chee Wee Leong, Navaneeth Jawahar, Vinay Basheerabad, Torsten Wörtwein, Andrew Emerson, Guy Sivan:
Combining Generative and Discriminative AI for High-Stakes Interview Practice. ICMI Companion 2024: 94-96 - 2023
- [j4]Su Shwe Yi Tun, Shogo Okada, Hung-Hsuan Huang, Chee Wee Leong:
Multimodal Transfer Learning for Oral Presentation Assessment. IEEE Access 11: 84013-84026 (2023) - [c38]Hung Le, Sixia Li, Candy Olivia Mawalim, Hung-Hsuan Huang, Chee Wee Leong, Shogo Okada:
Investigating the Effect of Linguistic Features on Personality and Job Performance Predictions. HCI (15) 2023: 370-383 - 2022
- [c37]Andrew Emerson, Patrick Houghton, Ke Chen, Vinay Basheerabad, Rutuja Ubale, Chee Wee Leong:
Predicting User Confidence in Video Recordings with Spatio-Temporal Multimodal Analytics. ICMI Companion 2022: 98-104 - [c36]Ari Sagherian, Suhasini Lingaiah, Mohamed Abouelenien, Chee Wee Leong, Lei Liu, Mengxuan Zhao, Blake Lafuente, Shukang Chen, Yi Qi:
Learning Progression-based Automated Scoring of Visual Models. PETRA 2022: 213-222 - 2021
- [c35]Su Shwe Yi Tun, Shogo Okada, Hung-Hsuan Huang, Chee Wee Leong:
Analysis of Modality-Based Presentation Skills Using Sequential Models. HCI (13) 2021: 358-369 - [c34]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 - [c33]Roberto Gretter, Marco Matassoni, Daniele Falavigna, A. Misra, Chee Wee Leong, Kate M. Knill, Linlin Wang:
ETLT 2021: Shared Task on Automatic Speech Recognition for Non-Native Children's Speech. Interspeech 2021: 3845-3849 - 2020
- [c32]Chee Wee Leong, Beata Beigman Klebanov, Chris Hamill, Egon Stemle, Rutuja Ubale, Xianyang Chen:
A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task. Fig-Lang@ACL 2020: 18-29 - [c31]Xianyang Chen, Chee Wee Leong, Michael Flor, Beata Beigman Klebanov:
Go Figure! Multi-task transformer-based architecture for metaphor detection using idioms: ETS team in 2020 metaphor shared task. Fig-Lang@ACL 2020: 235-243 - [c30]Haley Lepp, Chee Wee Leong, Katrina Roohr, Michelle P. Martin-Raugh, Vikram Ramanarayanan:
Effect of Modality on Human and Machine Scoring of Presentation Videos. ICMI 2020: 630-634 - [c29]Roberto Gretter, Marco Matassoni, Daniele Falavigna, Keelan Evanini, Chee Wee Leong:
Overview of the Interspeech TLT2020 Shared Task on ASR for Non-Native Children's Speech. INTERSPEECH 2020: 245-249 - [e2]Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Chee Wee Leong, Anna Feldman, Debanjan Ghosh:
Proceedings of the Second Workshop on Figurative Language Processing, Fig-Lang@ACL 2020, Online, July 9, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-12-5 [contents]
2010 – 2019
- 2019
- [c28]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 - [c27]Chee Wee Leong, Katrina Roohr, Vikram Ramanarayanan, Michelle P. Martin-Raugh, Harrison Kell, Rutuja Ubale, Yao Qian, Zydrune Mladineo, Laura McCulla:
Are Humans Biased in Assessment of Video Interviews? ICMI (Adjunct) 2019: 9:1-9:5 - [i1]Chee Wee Leong, Katrina Roohr, Vikram Ramanarayanan, Michelle P. Martin-Raugh, Harrison Kell, Rutuja Ubale, Yao Qian, Zydrune Mladineo, Laura McCulla:
To Trust, or Not to Trust? A Study of Human Bias in Automated Video Interview Assessments. CoRR abs/1911.13248 (2019) - 2018
- [c26]Chee Wee Leong, Beata Beigman Klebanov, Ekaterina Shutova:
A Report on the 2018 VUA Metaphor Detection Shared Task. Fig-Lang@NAACL-HLT 2018: 56-66 - [c25]Chee Wee Leong, Lei Liu, Rutuja Ubale, Lei Chen:
Toward large-scale automated scoring of scientific visual models. L@S 2018: 23:1-23:4 - [c24]Beata Beigman Klebanov, Chee Wee Leong, Michael Flor:
A Corpus of Non-Native Written English Annotated for Metaphor. NAACL-HLT (2) 2018: 86-91 - [e1]Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Chee Wee Leong:
Proceedings of the Workshop on Figurative Language Processing, Fig-Lang@NAACL-HLT 2018, New Orleans, Louisiana, 6 June 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-15-5 [contents] - 2017
- [j3]Klaus Zechner, Su-Youn Yoon, Suma Bhat, Chee Wee Leong:
Comparative evaluation of automated scoring of syntactic competence of non-native speakers. Comput. Hum. Behav. 76: 672-682 (2017) - [c23]Lei Chen, Franklin Zaromb, Zhitong Yang, Chee Wee Leong, Michelle P. Martin-Raugh:
Can a machine pass a situational judgment test measuring personality perception? ACII Workshops 2017: 7-11 - [c22]Lei Chen, Ru Zhao, Chee Wee Leong, Blair Lehman, Gary Feng, Mohammed (Ehsan) Hoque:
Automated video interview judgment on a large-sized corpus collected online. ACII 2017: 504-509 - [c21]Vikram Ramanarayanan, Chee Wee Leong, David Suendermann-Oeft, Keelan Evanini:
Crowdsourcing ratings of caller engagement in thin-slice videos of human-machine dialog: benefits and pitfalls. ICMI 2017: 281-287 - [c20]Vikram Ramanarayanan, Chee Wee Leong, David Suendermann-Oeft:
Rushing to Judgement: How do Laypeople Rate Caller Engagement in Thin-Slice Videos of Human-Machine Dialog? INTERSPEECH 2017: 2526-2530 - 2016
- [j2]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) - [c19]Beata Beigman Klebanov, Chee Wee Leong, E. Dario Gutiérrez, Ekaterina Shutova, Michael Flor:
Semantic classifications for detection of verb metaphors. ACL (2) 2016 - [c18]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 - [c17]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 - 2015
- [c16]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 - [c15]Vikram Ramanarayanan, Chee Wee Leong, Lei Chen, Gary Feng, David Suendermann-Oeft:
Evaluating Speech, Face, Emotion and Body Movement Time-series Features for Automated Multimodal Presentation Scoring. ICMI 2015: 23-30 - [c14]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 - [c13]Vikram Ramanarayanan, Lei Chen, Chee Wee Leong, Gary Feng, David Suendermann-Oeft:
An analysis of time-aggregated and time-series features for scoring different aspects of multimodal presentation data. INTERSPEECH 2015: 1373-1377 - 2014
- [c12]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 - [c11]Lei Chen, Su-Youn Yoon, Chee Wee Leong, Michelle P. Martin-Raugh, Min Ma:
An Initial Analysis of Structured Video Interviews by Using Multimodal Emotion Detection. ERM4HCI@ICMI 2014: 1-6 - [c10]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 - [c9]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 - 2012
- [c8]Chee Wee Leong, Silviu Cucerzan:
Supporting factual statements with evidence from the web. CIKM 2012: 1153-1162 - 2011
- [c7]Chee Wee Leong, Samer Hassan, Miguel E. Ruiz, Rada Mihalcea:
Improving Query Expansion for Image Retrieval via Saliency and Picturability. CLEF 2011: 137-142 - [c6]Miguel E. Ruiz, Chee Wee Leong, Samer Hassan:
UNT at ImageCLEF 2011: Relevance Models and Salient Semantic Analysis for Image Retrieval. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c5]Chee Wee Leong, Rada Mihalcea:
Going Beyond Text: A Hybrid Image-Text Approach for Measuring Word Relatedness. IJCNLP 2011: 1403-1407 - [c4]Chee Wee Leong, Rada Mihalcea:
Measuring the semantic relatedness between words and images. IWCS 2011 - 2010
- [c3]Chee Wee Leong, Rada Mihalcea, Samer Hassan:
Text Mining for Automatic Image Tagging. COLING (Posters) 2010: 647-655
2000 – 2009
- 2009
- [c2]Chee Wee Leong, Rada Mihalcea:
Explorations in Automatic Image Annotation using Textual Features. Linguistic Annotation Workshop 2009: 56-59 - 2008
- [j1]Rada Mihalcea, Chee Wee Leong:
Toward communicating simple sentences using pictorial representations. Mach. Transl. 22(3): 153-173 (2008) - [c1]Chee Wee Leong, Samer Hassan:
Exploiting Wikipedia for Directional Inferential Text Similarity. ITNG 2008: 686-691
Coauthor Index
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last updated on 2024-11-07 21:31 CET by the dblp team
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