Beata Beigman Klebanov

70 papers A* 3A 4Journal 11Unranked 46
YearRankTypeTitle / Venue / Authors
2025 — conf
Evaluating the Use of Generative Artificial Intelligence to Support Learning Opportunities for Teachers to Practice Engaging in Key Instructional Skills.
AIED (2)
Jamie N. Mikeska, Beata Beigman Klebanov, Aakanksha Bhatia, Shreyashi Halder, Michael Suhan
2025 J jnl
Uncovering Measurement Biases in LLM Embedding Spaces: The Anna Karenina Principle and Its Implications for Automated Feedback.
Int. J. Artif. Intell. Educ.
Abigail Gurin Schleifer, Beata Beigman Klebanov, Giora Alexandron
2025 J jnl
Unveiling Patterns of Interaction With Automated Feedback in Writing Mentor and Their Relationships With Use Goals and Writing Outcomes.
J. Comput. Assist. Learn.
Yang Jiang, Beata Beigman Klebanov, Jiangang Hao, Paul Deane, Oren E. Livne
2024 — conf
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners.
BEA
Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron
2024 J jnl
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners.
CoRR
Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron
2024 — conf
Automated Evaluation of Teacher Encouragement of Student-to-Student Interactions in a Simulated Classroom Discussion.
BEA
Michael Ilagan, Beata Beigman Klebanov, Jamie N. Mikeska
2024 — conf
Exploring the Potential of Automated and Personalized Feedback to Support Science Teacher Learning.
AIED (2)
Jamie N. Mikeska, Beata Beigman Klebanov, Alessia Marigo, Jessica Tierney, Tricia Maxwell, Tanya Nazaretsky
2024 — conf
From Miscue to Evidence of Difficulty: Analysis of Automatically Detected Miscues in Oral Reading for Feedback Potential.
BEA
Beata Beigman Klebanov, Michael Suhan, Tenaha O'Reilly, Zuowei Wang
2024 — conf
To Read or Not to Read: Predicting Student Engagement in Interactive Reading.
AIED (2)
Beata Beigman Klebanov, Jonathan Weeks, Sandip Sinharay
2023 — conf
A dynamic model of lexical experience for tracking of oral reading fluency.
BEA@ACL
Beata Beigman Klebanov, Michael Suhan, Zuowei Wang, Tenaha O'Reilly
2023 — conf
Analyzing Users' Interaction with Writing Feedback and Their Effects on Writing Performance.
AIED (Posters/Late Breaking Results/...)
Yang Jiang, Beata Beigman Klebanov, Oren E. Livne, Jiangang Hao
2023 A conf
Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion.
LAK
Tanya Nazaretsky, Jamie N. Mikeska, Beata Beigman Klebanov
2023 — ed.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), ACL 2023, Toronto, Canada, July 9-14, 2023.
ACL (industry)
Sunayana Sitaram, Beata Beigman Klebanov, Jason D. Williams
2023 — conf
Transformer-based Hebrew NLP models for Short Answer Scoring in Biology.
BEA@ACL
Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron
2021 — conf
A Good Start is Half the Battle Won: Unsupervised Pre-training for Low Resource Children's Speech Recognition for an Interactive Reading Companion.
AIED (1)
Abhinav Misra, Anastassia Loukina, Beata Beigman Klebanov, Binod Gyawali, Klaus Zechner
2021 — book
Automated Essay Scoring
Beata Beigman Klebanov, Nitin Madnani
2021 — conf
Exploiting Structured Error to Improve Automated Scoring of Oral Reading Fluency.
AIED (2)
Beata Beigman Klebanov, Anastassia Loukina
2020 — conf
A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task.
Fig-Lang@ACL
Chee Wee Leong, Beata Beigman Klebanov, Chris Hamill, Egon Stemle, Rutuja Ubale, Xianyang Chen
2020 J jnl
An Exploratory Study of Argumentative Writing by Young Students: A Transformer-based Approach.
CoRR
Debanjan Ghosh, Beata Beigman Klebanov, Yi Song
2020 — conf
An Exploratory Study of Argumentative Writing by Young Students: A transformer-based Approach.
BEA@ACL
Debanjan Ghosh, Beata Beigman Klebanov, Yi Song
2020 A* conf
Automated Evaluation of Writing - 50 Years and Counting.
ACL
Beata Beigman Klebanov, Nitin Madnani
2020 A conf
Detecting learning in noisy data: the case of oral reading fluency.
LAK
Beata Beigman Klebanov, Anastassia Loukina, John Lockwood, Van Rynald T. Liceralde, John Sabatini, Nitin Madnani, Binod Gyawali, Zuowei Wang, Jennifer Lentini
2020 — conf
Go Figure! Multi-task transformer-based architecture for metaphor detection using idioms: ETS team in 2020 metaphor shared task.
Fig-Lang@ACL
Xianyang Chen, Chee Wee Leong, Michael Flor, Beata Beigman Klebanov
2020 — ed.
Proceedings of the Second Workshop on Figurative Language Processing, Fig-Lang@ACL 2020, Online, July 9, 2020
Fig-Lang@ACL
Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Chee Wee Leong, Anna Feldman, Debanjan Ghosh
2019 A conf
Automated Estimation of Oral Reading Fluency During Summer Camp e-Book Reading with MyTurnToRead.
INTERSPEECH
Anastassia Loukina, Beata Beigman Klebanov, Patrick L. Lange, Yao Qian, Binod Gyawali, Nitin Madnani, Abhinav Misra, Klaus Zechner, Zuowei Wang, John Sabatini
2019 — conf
My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers.
ACL (3)
Nitin Madnani, Beata Beigman Klebanov, Anastassia Loukina, Binod Gyawali, Patrick L. Lange, John Sabatini, Michael Flor
2019 A conf
Would you?: Could you? On a tablet? Analytics of Children's eBook Reading.
LAK
Beata Beigman Klebanov, Anastassia Loukina, Nitin Madnani, John Sabatini, Jennifer Lentini
2018 — conf
A Corpus of Non-Native Written English Annotated for Metaphor.
NAACL-HLT (2)
Beata Beigman Klebanov, Chee Wee Leong, Michael Flor
2018 — conf
A Report on the 2018 VUA Metaphor Detection Shared Task.
Fig-Lang@NAACL-HLT
Chee Wee Leong, Beata Beigman Klebanov, Ekaterina Shutova
2018 — conf
Catching Idiomatic Expressions in EFL Essays.
Fig-Lang@NAACL-HLT
Michael Flor, Beata Beigman Klebanov
2018 — conf
Evaluating on-device ASR on Field Recordings from an Interactive Reading Companion.
SLT
Anastassia Loukina, Nitin Madnani, Beata Beigman Klebanov, Abhinav Misra, Georgi Angelov, Ognjen Todic
2018 J jnl
Metaphor: A Computational Perspective Tony Veale, Ekaterina Shutova, and Beata Beigman Klebanov (University College Dublin, University of Cambridge, Educational Testing Service)Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 31), 2016, xi+148 pp; paperback, ISBN 9781627058506, $55.00; ebook, ISBN 9781627058513; doi: 10.2200/S00694ED1V01Y201601HLT031.
Comput. Linguistics
Tony Veale, Ekaterina Shutova, Beata Beigman Klebanov, Graeme Hirst, Carlo Strapparava
2018 — ed.
Proceedings of the Workshop on Figurative Language Processing, Fig-Lang@NAACL-HLT 2018, New Orleans, Louisiana, 6 June 2018
Fig-Lang@NAACL-HLT
Beata Beigman Klebanov, Ekaterina Shutova, Patricia Lichtenstein, Smaranda Muresan, Chee Wee Leong
2018 — conf
Towards Understanding Text Factors in Oral Reading.
NAACL-HLT
Anastassia Loukina, Van Rynald T. Liceralde, Beata Beigman Klebanov
2018 — conf
Using exemplar responses for training and evaluating automated speech scoring systems.
BEA@NAACL-HLT
Anastassia Loukina, Klaus Zechner, James V. Bruno, Beata Beigman Klebanov
2018 — conf
Writing Mentor: Self-Regulated Writing Feedback for Struggling Writers.
COLING (Demos)
Nitin Madnani, Jill Burstein, Norbert Elliot, Beata Beigman Klebanov, Diane Napolitano, Slava Andreyev, Maxwell Schwartz
2017 — conf
Continuous fluency tracking and the challenges of varying text complexity.
BEA@EMNLP
Beata Beigman Klebanov, Anastassia Loukina, John Sabatini, Tenaha O'Reilly
2017 — conf
Detecting Good Arguments in a Non-Topic-Specific Way: An Oxymoron?
ACL (2)
Beata Beigman Klebanov, Binod Gyawali, Yi Song
2017 — conf
Developing speech processing technologies for shared book reading with a computer.
WOCCI
Anastassia Loukina, Beata Beigman Klebanov, Patrick L. Lange, Binod Gyawali, Yao Qian
2017 — conf
Exploring Relationships Between Writing & Broader Outcomes With Automated Writing Evaluation.
BEA@EMNLP
Jill Burstein, Dan McCaffrey, Beata Beigman Klebanov, Guangming Ling
2017 J jnl
Reflective Writing About the Utility Value of Science as a Tool for Increasing STEM Motivation and Retention - Can AI Help Scale Up?
Int. J. Artif. Intell. Educ.
Beata Beigman Klebanov, Jill Burstein, Judith Harackiewicz, Stacy Priniski, Matthew Mulholland
2016 — conf
A Left Turn: Automated Feedback and Activity Generation for Student Writers.
LTLT
Jill Burstein, Beata Beigman Klebanov, Norbert Elliot, Hillary Molloy
2016 — conf
Argumentation: Content, Structure, and Relationship with Essay Quality.
ArgMining@ACL
Beata Beigman Klebanov, Christian Stab, Jill Burstein, Yi Song, Binod Gyawali, Iryna Gurevych
2016 — conf
Enhancing STEM Motivation through Personal and Communal Values: NLP for Assessment of Utility Value in Student Writing.
BEA@NAACL-HLT
Beata Beigman Klebanov, Jill Burstein, Judith Harackiewicz, Stacy Priniski, Matthew Mulholland
2016 — book
Metaphor: A Computational Perspective
Tony Veale, Ekaterina Shutova, Beata Beigman Klebanov
2016 — conf
Semantic classifications for detection of verb metaphors.
ACL (2)
Beata Beigman Klebanov, Chee Wee Leong, E. Dario Gutiérrez, Ekaterina Shutova, Michael Flor
2016 — conf
Topicality-Based Indices for Essay Scoring.
BEA@NAACL-HLT
Beata Beigman Klebanov, Michael Flor, Binod Gyawali
2014 — conf
Applying Argumentation Schemes for Essay Scoring.
ArgMining@ACL
Yi Song, Michael Heilman, Beata Beigman Klebanov, Paul Deane
2014 — conf
Content Importance Models for Scoring Writing From Sources.
ACL (2)
Beata Beigman Klebanov, Nitin Madnani, Jill Burstein, Swapna Somasundaran
2014 — conf
Difficult Cases: From Data to Learning, and Back.
ACL (2)
Beata Beigman Klebanov, Eyal Beigman
2014 — conf
ETS Lexical Associations System for the COGALEX-4 Shared Task.
CogALex@COLING
Michael Flor, Beata Beigman Klebanov
2013 — conf
Associative Texture Is Lost In Translation.
DiscoMT@ACL
Beata Beigman Klebanov, Michael Flor
2013 J jnl
Sentiment profiles of multiword expressions in test-taker essays: The case of noun-noun compounds.
ACM Trans. Speech Lang. Process.
Beata Beigman Klebanov, Jill Burstein, Nitin Madnani
2013 J jnl
Using Pivot-Based Paraphrasing and Sentiment Profiles to Improve a Subjectivity Lexicon for Essay Data.
Trans. Assoc. Comput. Linguistics
Beata Beigman Klebanov, Nitin Madnani, Jill Burstein
2013 — conf
Word Association Profiles and their Use for Automated Scoring of Essays.
ACL (1)
Beata Beigman Klebanov, Michael Flor
2012 — conf
Building Subjectivity Lexicon(s) from Scratch for Essay Data.
CICLing (1)
Beata Beigman Klebanov, Jill Burstein, Nitin Madnani, Adam Faulkner, Joel R. Tetreault
2012 — conf
Measuring the Use of Factual Information in Test-Taker Essays.
BEA@NAACL-HLT
Beata Beigman Klebanov, Derrick Higgins
2010 A* conf
A Game-Theoretic Model of Metaphorical Bargaining.
ACL
Beata Beigman Klebanov, Eyal Beigman
2010 — conf
Some Empirical Evidence for Annotation Noise in a Benchmarked Dataset.
HLT-NAACL
Beata Beigman Klebanov, Eyal Beigman
2010 — conf
Vocabulary Choice as an Indicator of Perspective.
ACL (2)
Beata Beigman Klebanov, Eyal Beigman, Daniel Diermeier
2009 J jnl
From Annotator Agreement to Noise Models.
Comput. Linguistics
Beata Beigman Klebanov, Eyal Beigman
2009 — conf
Learning with Annotation Noise.
ACL/IJCNLP
Eyal Beigman, Beata Beigman Klebanov
2007 — —
Lexical cohesion in English texts : experimental and computational investigation (חקר התואם הלקסיקלי בטקסטים באנגלית בכלים ניסויים וחישוביים.).
Beata Beigman Klebanov
2007 J jnl
Reader-based exploration of lexical cohesion.
Lang. Resour. Evaluation
Beata Beigman Klebanov, Eli Shamir
2006 — conf
Measuring Semantic Relatedness Using People and WordNet.
HLT-NAACL
Beata Beigman Klebanov
2006 — conf
On Lexical Cohesive Behavior of Heads of Definite Descriptions: A Case Study.
NLUCS
Beata Beigman Klebanov, Eli Shamir
2006 J jnl
Reader-based exploration of lexical cohesion.
Lang. Resour. Evaluation
Beata Beigman Klebanov, Eli Shamir
2005 — conf
Lexical Cohesion: Some Implications of an Empirical Study.
NLUCS
Beata Beigman Klebanov, Eli Shamir
2005 A* conf
Using Readers to Identify Lexical Cohesive Structures in Texts.
ACL
Beata Beigman Klebanov
2004 — conf
Text Simplification for Information-Seeking Applications.
CoopIS/DOA/ODBASE (1)
Beata Beigman Klebanov, Kevin Knight, Daniel Marcu