Lei Chen
Lei Chen has 4 papers in our library, in 2014–2026, most of them on Sentiment & emotion, English, Bias, fairness & safety; often with Jie Zhou, Keelan Evanini, Klaus Zechner.
OpenAlex · ORCID · h-index 12 · 40 works · 748 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 92 times in our library · ⭐ Paper Stars ranking: #4256
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 3 worksInformation Systems · 1 workPsychology · 1 workExperimental and Cognitive Psychology · 1 workSignal Processing · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work
🧭 Topics 4Research subjects and languages the work is about.Sentiment & emotion · 2 worksEnglish · 2 worksBias, fairness & safety · 1 workVision & language · 1 work
Works by year
2020s
2010s
Papers
- A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis (2019 · 395 citations)
Standard aspect-based sentiment analysis (ABSA) benchmarks have a hidden weakness. In most of their sentences, either one aspect appears or all aspects share the same polarity. A model can therefore score well by predicting overall sentence sentiment and ignoring the target aspect. To fix this, the authors built MAMS… - Automated scoring of speaking items in an assessment for teachers of English as a Foreign Language (2014 · 16 citations)
The paper describes an automatic scorer for the speaking part of a new English test designed for non-native English speakers who teach EFL. - Automatically Detecting Reduced-formed English Pronunciations by Using Deep Learning (2022 · 4 citations)
The paper addresses automatic detection of reduced-form pronunciations in the speech of Chinese learners of English. - More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection (2026)
The paper addresses implicit multimodal hate speech, where a text and an image look harmless on their own but turn hateful together.
Co-authors here
- Jie Zhou
- Keelan Evanini
- Klaus Zechner
- Min Yang
- Ruifeng Xu
- Su-Youn Yoon
- Xinhao Wang
- Yang Liu
- Yiwei Gu
- Yu Zheng
- Zexuan Xiong
Venues
- Workshop on Innovative Use of NLP for Building Educational Applications (BEA) ×2: BEA 2022, BEA 2014
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2019
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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