• CLASP: Cross-modal Alignment Using Pre-trained Unimodal Models
    J. Zhou, Z. Zeng, H. Gong, and S. Bhat
    [To appear in Findings of ACL 2024]
  • Non-compositional Expression Generation and its Continual Learning
    J. Zhou and S. Bhat
    [To appear in Findings of ACL 2024]
  • No Context Needed: Contextual Quandary In Idiomatic Reasoning With Pre-Trained Language Models
    K. Cheng and S. Bhat
    [To appear in NAACL 2024]
  • .Analego: Let’s build analogies together!
    Bhavya, S. Sehgal, S. Bhat and C. Zhai
    [AI4ED 2024]
  • The Relation Among Gender, Language, and Posting Type in Online Chemistry Course Discussion Forums
    G. Henricks, M. Perry, and S. Bhat
    [LAK 2024]


  • IEKG: A Commonsense Knowledge Graph for Idiomatic Expressions
    Z. Zeng, K. Cheng, S. Nanniyur, J. Zhou, and S. Bhat
    [EMNLP 2023]
  • Unified Representation for Non-compositional and Compositional Expressions
    Z. Zeng and  S. Bhat
    [EMNLP 2023 Findings]
  • Non-compositional Expression Generation Based on Curriculum Learning and Continual Learning
    J. Zhou, and  S. Bhat
    [EMNLP 2023 Findings]
  • CRISP: Curriculum based Sequential neural decoders for Polar code family
    S. A. Hebbar, V. V. Nadkarni, A. V. Makkuva, S. Bhat, S. Oh, and  P. Viswanath
    [ICML 2023]
  • CLCL: Non-compositional Expression Detection with Contrastive Learning and Curriculum Learning
    J. Zhou, Z. Zeng and S. Bhat
    [ACL 2023]
  • Automating Patient Note Feedback using Natural Language Processing: Examining Scoring Reliability and Feasibility of an Automated Short Answer Grading System
    W. Bond, J. Zhou, S. Bhat, R. Ebert-Allen, Y. S. Park, and R. Yudkowsky
    [RIME 2023]
  • The Importance of Diverse User Goals When Designing an Automated COVID Risk Counselor
    J. E. Cox, M. Hasegawa-Johnson, S. Bhat, M. Umashankar, H. C. Lane and D. Morrow
    [International Symposium on Human Factors and Ergonomics in Health Care 2023]


  • Automatic Patient Note Assessment without Strong Supervision
    J. Zhou, V. N. Thakkar, R. Yudkowsky, S. Bhat, and  W. F. Bond
    [LOUHI 2022]
  • Getting BART to Ride the Idiomatic Train: Learning to Represent Idiomatic Expressions
    Z. Zeng and S. Bhat
    [TACL 2022]
  • Enhancing Content Preservation in Unsupervised Text Style Transfer
    W. Zhu and S. Bhat
    [INLG 2022]
  • Idiomatic Expression Paraphrasing without Strong Supervision
    J. Zhou, Z. Zeng, H. Gong, and S. Bhat
    [AAAI 2022]
  • Automated Assessment of Written Patient Notes for Reliable Medical Learner Feedback
    V. Thakkar, T. Sakakini, R. Ebert-Allen, W. Bond, and S. Bhat
    [IMSH 2022]


  • Paraphrase Generation: A Survey of the State of the Art
    J. Zhou and S. Bhat
    [EMNLP 2021]
  • Euphemistic Phrase Detection by Masked Language Model
    W. Zhu and S. Bhat
    [Findings of EMNLP 2021]
  • Idiomatic Expression Identification Using Semantic Compatibility
    Z. Zeng and S. Bhat
    [TACL 2021]
  • PIE: Parallel Idiomatic Expression Corpus for Idiomatic Sentence Generation and Paraphrasing
    J. Zhou, H. Gong, and S. Bhat
    [MWE 2021]
  • Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech
    W. Zhu and S. Bhat
    [Findings of ACL 2021]
  • Self-Supervised Euphemism Detection and Identification for Content Moderation
    W. Zhu, H. Gong, R. Bansal, Z. Weinberg, N. Christin, G. Fanti, and S. Bhat
    [IEEE S&P 2021]
  • Modeling Consistency Using Engagement Patterns in Online Courses
    J. Zhou, and S. Bhat
    [LAK 2021]
  • A Social Network Analysis of Online Engagement for College Students Traditionally Underrepresented in STEM
    D. Williams-Dobosz, R. F. L. Azevedo, A. Jeng, V. Thakkar, S. Bhat, N. Bosch, and M. Perry
    [LAK 2021]
  • Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention
    H. Gong, A. Valido, K. Ingram, G. Fanti, S. Bhat, and D. Espelage
    [AAAI 2021]


  • Rich Syntactic and Semantic Information Helps Unsupervised Text Style Transfer
    H. Gong, L. Song, and S. Bhat
    [INLG 2020]
  • Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains
    T. Sakakini,  S. Bhat
    [LOUHI 2020]
  • GRUEN for Evaluating Linguistic Quality of Generated Text
    W. Zhu, and S. Bhat
    [EMNLP (Findings) 2020]
  • Enriching Word Embeddings With Temporal and Spatial Information
    H. Gong, S. Bhat and P. Viswanath
    [CoNLL 2020]
  • FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
    W. Zhu, H. Gong, J. Shen, C. Zhang, J. Shang, S. Bhat and J. Han
    [ECML-PKDD 2020]
  • Closing the Loop in Computer Agent/Patient Communication
    D. Morrow, R. F. L. Azevedo, L. Sari, K. Gu, T. Sakakini, M. Hasegawa- Johnson, S. Bhat, J. Graumlich, T. Huang, A. Hariharan, Y. Shao, & E. Cox
    [Human Factors and Ergonomics Society Annual Meeting 2020]

  • Effective Forum Curation via Multi-task Learning
    F. Brahman, N. Varghese, S. Bhat and S. Chaturvedi
    [EDM 2020]
  • Online Discussion Forum Help-Seeking Behaviors of Students Underrepresented in STEM
    V. Jay, G. Henricks, C. Anderson, L. Angrave, N. Bosch, N. Shaik, D. Williams- Dobosz, S. Bhat, and M. Perry
    [ICLS 2020]
  • Gender and Gendered Discourse in Online STEM College Courses
    G. Henricks, S. Bhat, and M. Perry
    [ICLS 2020]
  • IlliniMet: Illinois System for Metaphor Detection with Contextual and Linguistic Information
    H. Gong, K. Gupta, A. Jain, and S. Bhat
    [FigLang 2020]


  • PaRE: A Paper-Reviewer Matching Approach Using a Common Topic Space
    O. Anjum, H. Gong, S. Bhat, J. Xiong, and W.  Hwu
    [EMNLP  2019]
  • Equipping Educational Applications with Domain Knowledge
    T. Sakakini, H. Gong, J. Y. Lee, R. Schloss, J. Xiong, and S. Bhat
    [BEA Workshop 2019]
  • The Influence of Computer Agent Characteristics on User Preferences in Health Contexts
    R. F. L. Azevedo, D. Morrow, K. Gu, T. Huang, M. Hasegawa-Johnson, P. Soni, S. Tang, T. Sakakini, S. Bhat, A. Willemsen-Dunlap, and J. Graumlich
    [Human Factors and Ergonomics Society Health Care Symposium 2019]
  • Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus
    H. Gong, S. Bhat, L. Wu, J. Xiong, and W. Hwu
    [NAACL-HLT 2019]
  • Context-Sensitive Malicious Spelling Error Correction
    H. Gong, Y. Li, S. Bhat, and P. Viswanath
    [WWW 2019]
  • DiAd: Domain Adaptation for Learning at Scale
    Z. Zeng, S. Chaturvedi, S. Bhat, and D. Roth
    [LAK 2019]


  • A Comparison of Grammatical Proficiency Measures in the Automated Assessment of Spontaneous Speech

S. Yoon, S. Bhat

[Speech Communication, May 2018]

  • Using conversational agents to explain medication instructions to older adults

R. F. L. Azevedo, D. Morrow, J. Graumlich, A. Willemsen-Dunlap, M. Hasegawa-Johnson, T. S. Huang, K. Gu, S. Bhat, T. Sakakini, V. Sadauskas, and D. J. Halpin

[AMIA 2018]

  • Embedding Syntax and Semantics of Prepositions via Tensor Decomposition

H. Gong, S. Bhat, P. Viswanath

[NAACL 2018]

  • Document Similarity for Texts of Varying Lengths via Hidden Topics

H. Gong, T. Sakakini, S. Bhat, and J. Xiong

[ACL 2018]

  • Who they are and what they want: Understanding the reasons for MOOC enrollment

R. W. Crues, N. Bosch, C. Anderson, M. Perry, S. Bhat, and N. Shaik

[Educational Data Mining 2018]

  • Refocusing the Lens on Engagement in MOOCs

R. W. Crues, N. Bosch, M. Perry, L. Angrave, N. Shaik, and S. Bhat

[Learning@Scale 2018]

  • Modeling key differences in underrepresented students’ interactions with an online STEM course

N. Bosch, R. W. Crues, G. Henricks, M. Perry, L. Angrave, N. Shaik, S. Bhat, and C. J. Anderson

[Technology, Mind, and Society Conference 2018]


  • How do Gender, Learning Goals, and Forum Participation Predict Persistence in a Computer Science MOOC?

R. W. Crues, G. M. Henricks, M. Perry, S. Bhat, C. J. Anderson, N. Shaik, and L. Angrave

[ACM Transactions on Computing Education, October 2017]

  • Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses

Z. Zeng, S. Chaturvedi, and S. Bhat

[EDM 2017]

  • Representing Sentences as Low-Rank Subspaces

J. Mu, S. Bhat, and P. Viswanath

[ACL 2017]

  • MORSE: Semantic-ally Drive-n MORpheme SEgment-er

T. Sakakini, S. Bhat, and P. Viswanath

[ACL 2017]

  • Comparative Evaluation of Automated Scoring of Syntactic Competence of Non-Native Speakers

K. Zechner, S. Youn, S. Bhat, C. W. Leong

[Computers in Human Behavior, November 2017]

  • Geometry of Polysemy

J. Mu, S. Bhat, and P. Viswanath

[ICLR 2017]

  • Geometry of Compositionality

H. Gong, S. Bhat, and P. Viswanath

[AAAI 2017]


  • Shallow Analysis Based Assessment of Syntactic Complexity for Automated Speech Scoring

S. Bhat, H. Xue and S. Yoon,

[ACL  2014]

  • Machine-guided solution to mathematical word problems

B. Amnueypornsakul, and S. Bhat

[PACLIC 2014]

  • Predicting Attrition Along the Way: The UIUC Model

B. Amnueypornsakul, S. Bhat, P. Chinprutthiwong

[EMNLP Workshop on Analysis of Large Scale Social Interaction in MOOCs 2014]


  • Statistical Stemming for Kannada

S. Bhat

[Workshop on South and Southeast Asian Natural Language Processing 2013]

  • Student Perceptions of Differences in Visual Communication Mode for an Online Course in Engineering

S. Bhat, and G. Herman

[Frontiers in Education 2013]


  • Morpheme Segmentation for Kannada Standing on the Shoulder of Giants

S. Bhat

[Workshop on South and Southeast Asian Natural Language Processing 2012]

  • Assessment of ESL Learners’ Syntactic Competence Based on Similarity Measures

S. Yoon, and S. Bhat

[EMNLP 2012]

  • Vocabulary Profile as a Measure of Vocabulary Sophistication

S. Yoon, S. Bhat and K. Zechner

[Workshop on Building Educational Applications using NLP 2012]


  • Automatic Fluency Assessment by Signal-Level Measurement of Spontaneous Speech

S. Bhat, M. Hasegawa-Johnson, and R. Sproat

 [L2WS 2010]

  • Automatic fluency assessment using thin-slices of spontaneous speech

S. Bhat, R. Sproat, M. Hasegawa-Johnson and F. Davidson

[Language Testing Research Colloquium 2010]


  • Knowing the Unseen: Estimating Vocabulary Size over Unseen Samples

S. Bhat, and R. Sproat

[ACL 2009]