| 2026 | AIED | Designing Scenario-Based Tasks for Assessing AI Literacy. | Caitlin Tenison, Jesse R. Sparks, Teresa M. Ober, Tenaha O'Reilly, Michael Suhan, Beata Beigman Klebanov, Diego Zapata-Rivera |
| 2025 | AIED | Evaluating the Use of Generative Artificial Intelligence to Support Learning Opportunities for Teachers to Practice Engaging in Key Instructional Skills. | Jamie N. Mikeska, Beata Beigman Klebanov, Aakanksha Bhatia, Shreyashi Halder, Michael Suhan |
| 2024 | AIED | To Read or Not to Read: Predicting Student Engagement in Interactive Reading. | Beata Beigman Klebanov, Jonathan Weeks, Sandip Sinharay |
| 2024 | AIED | Exploring the Potential of Automated and Personalized Feedback to Support Science Teacher Learning. | Jamie N. Mikeska, Beata Beigman Klebanov, Alessia Marigo, Jessica Tierney, Tricia Maxwell, Tanya Nazaretsky |
| 2023 | AIED | Analyzing Users' Interaction with Writing Feedback and Their Effects on Writing Performance. | Yang Jiang, Beata Beigman Klebanov, Oren E. Livne, Jiangang Hao |
| 2023 | LAK | Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion. | Tanya Nazaretsky, Jamie N. Mikeska, Beata Beigman Klebanov |
| 2021 | AIED | Exploiting Structured Error to Improve Automated Scoring of Oral Reading Fluency. | Beata Beigman Klebanov, Anastassia Loukina |
| 2021 | AIED | A Good Start is Half the Battle Won: Unsupervised Pre-training for Low Resource Children's Speech Recognition for an Interactive Reading Companion. | Abhinav Misra, Anastassia Loukina, Beata Beigman Klebanov, Binod Gyawali, Klaus Zechner |
| 2020 | ACL | Automated Evaluation of Writing - 50 Years and Counting. | Beata Beigman Klebanov, Nitin Madnani |
| 2020 | LAK | Detecting learning in noisy data: the case of oral reading fluency. | Beata Beigman Klebanov, Anastassia Loukina, John Lockwood, Van Rynald T. Liceralde, John Sabatini, Nitin Madnani, Binod Gyawali, Zuowei Wang, Jennifer Lentini |
| 2019 | ACL | My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers. | Nitin Madnani, Beata Beigman Klebanov, Anastassia Loukina, Binod Gyawali, Patrick L. Lange, John Sabatini, Michael Flor |
| 2019 | Interspeech | Automated Estimation of Oral Reading Fluency During Summer Camp e-Book Reading with MyTurnToRead. | Anastassia Loukina, Beata Beigman Klebanov, Patrick L. Lange, Yao Qian, Binod Gyawali, Nitin Madnani, Abhinav Misra, Klaus Zechner, Zuowei Wang, John Sabatini |
| 2019 | LAK | Would you?: Could you? On a tablet? Analytics of Children's eBook Reading. | Beata Beigman Klebanov, Anastassia Loukina, Nitin Madnani, John Sabatini, Jennifer Lentini |
| 2018 | COLING | Writing Mentor: Self-Regulated Writing Feedback for Struggling Writers. | Nitin Madnani, Jill Burstein, Norbert Elliot, Beata Beigman Klebanov, Diane Napolitano, Slava Andreyev, Maxwell Schwartz |
| 2018 | NAACL | A Corpus of Non-Native Written English Annotated for Metaphor. | Beata Beigman Klebanov, Chee Wee Leong, Michael Flor |
| 2018 | NAACL | Towards Understanding Text Factors in Oral Reading. | Anastassia Loukina, Van Rynald T. Liceralde, Beata Beigman Klebanov |
| 2017 | ACL | Detecting Good Arguments in a Non-Topic-Specific Way: An Oxymoron? | Beata Beigman Klebanov, Binod Gyawali, Yi Song |
| 2016 | ACL | Semantic classifications for detection of verb metaphors. | Beata Beigman Klebanov, Chee Wee Leong, E. Dario Gutirrez, Ekaterina Shutova, Michael Flor |
| 2016 | ACL | Argumentation: Content, Structure, and Relationship with Essay Quality. | Beata Beigman Klebanov, Christian Stab, Jill Burstein, Yi Song, Binod Gyawali, Iryna Gurevych |
| 2014 | ACL | Difficult Cases: From Data to Learning, and Back. | Beata Beigman Klebanov, Eyal Beigman |
| 2014 | ACL | Content Importance Models for Scoring Writing From Sources. | Beata Beigman Klebanov, Nitin Madnani, Jill Burstein, Swapna Somasundaran |
| 2014 | ACL | Applying Argumentation Schemes for Essay Scoring. | Yi Song, Michael Heilman, Beata Beigman Klebanov, Paul Deane |
| 2013 | ACL | Word Association Profiles and their Use for Automated Scoring of Essays. | Beata Beigman Klebanov, Michael Flor |
| 2012 | CICLING | Building Subjectivity Lexicon(s) from Scratch for Essay Data. | Beata Beigman Klebanov, Jill Burstein, Nitin Madnani, Adam Faulkner, Joel R. Tetreault |
| 2010 | ACL | A Game-Theoretic Model of Metaphorical Bargaining. | Beata Beigman Klebanov, Eyal Beigman |
| 2010 | ACL | Vocabulary Choice as an Indicator of Perspective. | Beata Beigman Klebanov, Eyal Beigman, Daniel Diermeier |
| 2010 | NAACL | Some Empirical Evidence for Annotation Noise in a Benchmarked Dataset. | Beata Beigman Klebanov, Eyal Beigman |
| 2009 | ACL | Learning with Annotation Noise. | Eyal Beigman, Beata Beigman Klebanov |
| 2006 | NAACL | Measuring Semantic Relatedness Using People and WordNet. | Beata Beigman Klebanov |
| 2005 | ACL | Using Readers to Identify Lexical Cohesive Structures in Texts. | Beata Beigman Klebanov |
| 2004 | CoopIS | Text Simplification for Information-Seeking Applications. | Beata Beigman Klebanov, Kevin Knight, Daniel Marcu |