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ORCIDBeata Beigman Klebanov
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- affiliation: Hebrew University of Jerusalem, Israel
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2020 – today
- 2024
[c53]Beata Beigman Klebanov, Jonathan Weeks, Sandip Sinharay:
To Read or Not to Read: Predicting Student Engagement in Interactive Reading. AIED (2) 2024: 209-222- [c52]Jamie N. Mikeska
, Beata Beigman Klebanov, Alessia Marigo, Jessica Tierney, Tricia Maxwell, Tanya Nazaretsky:
Exploring the Potential of Automated and Personalized Feedback to Support Science Teacher Learning. AIED (2) 2024: 251-258 - [c51]Michael Ilagan, Beata Beigman Klebanov, Jamie N. Mikeska:
Automated Evaluation of Teacher Encouragement of Student-to-Student Interactions in a Simulated Classroom Discussion. BEA 2024: 182-198 - [c50]Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron:
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners. BEA 2024: 391-402 - [c49]Beata Beigman Klebanov, Michael Suhan, Tenaha O'Reilly, Zuowei Wang:
From Miscue to Evidence of Difficulty: Analysis of Automatically Detected Miscues in Oral Reading for Feedback Potential. BEA 2024: 459-469 - [i2]Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron:
Anna Karenina Strikes Again: Pre-Trained LLM Embeddings May Favor High-Performing Learners. CoRR abs/2406.06599 (2024) - 2023
- [c48]Yang Jiang, Beata Beigman Klebanov, Oren E. Livne, Jiangang Hao:
Analyzing Users' Interaction with Writing Feedback and Their Effects on Writing Performance. AIED (Posters/Late Breaking Results/...) 2023: 466-471 - [c47]Abigail Gurin Schleifer, Beata Beigman Klebanov, Moriah Ariely, Giora Alexandron:
Transformer-based Hebrew NLP models for Short Answer Scoring in Biology. BEA@ACL 2023: 550-555 - [c46]Beata Beigman Klebanov, Michael Suhan, Zuowei Wang, Tenaha O'Reilly:
A dynamic model of lexical experience for tracking of oral reading fluency. BEA@ACL 2023: 567-575 - [c45]Tanya Nazaretsky, Jamie N. Mikeska, Beata Beigman Klebanov:
Empowering Teacher Learning with AI: Automated Evaluation of Teacher Attention to Student Ideas during Argumentation-focused Discussion. LAK 2023: 122-132 - [e3]Sunayana Sitaram, Beata Beigman Klebanov, Jason D. Williams:
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-68-5 [contents] - 2021
- [b3]Beata Beigman Klebanov, Nitin Madnani:
Automated Essay Scoring. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01054-5, pp. 1-314 - [c44]Beata Beigman Klebanov, Anastassia Loukina:
Exploiting Structured Error to Improve Automated Scoring of Oral Reading Fluency. AIED (2) 2021: 76-81 - [c43]Abhinav Misra, Anastassia Loukina, Beata Beigman Klebanov, Binod Gyawali, Klaus Zechner:
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) 2021: 306-317 - 2020
- [c42]Beata Beigman Klebanov, Nitin Madnani:
Automated Evaluation of Writing - 50 Years and Counting. ACL 2020: 7796-7810 - [c41]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 - [c40]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 - [c39]Debanjan Ghosh, Beata Beigman Klebanov, Yi Song:
An Exploratory Study of Argumentative Writing by Young Students: A transformer-based Approach. BEA@ACL 2020: 145-150 - [c38]Beata Beigman Klebanov, Anastassia Loukina, John Lockwood, Van Rynald T. Liceralde, John Sabatini, Nitin Madnani, Binod Gyawali, Zuowei Wang, Jennifer Lentini:
Detecting learning in noisy data: the case of oral reading fluency. LAK 2020: 490-495 - [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] - [i1]Debanjan Ghosh, Beata Beigman Klebanov, Yi Song:
An Exploratory Study of Argumentative Writing by Young Students: A Transformer-based Approach. CoRR abs/2006.09873 (2020)
2010 – 2019
- 2019
- [c37]Nitin Madnani, Beata Beigman Klebanov, Anastassia Loukina, Binod Gyawali, Patrick L. Lange, John Sabatini, Michael Flor:
My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers. ACL (3) 2019: 141-146 - [c36]Anastassia Loukina, Beata Beigman Klebanov, Patrick L. Lange, Yao Qian, Binod Gyawali, Nitin Madnani, Abhinav Misra, Klaus Zechner, Zuowei Wang, John Sabatini:
Automated Estimation of Oral Reading Fluency During Summer Camp e-Book Reading with MyTurnToRead. INTERSPEECH 2019: 21-25 - [c35]Beata Beigman Klebanov, Anastassia Loukina, Nitin Madnani, John Sabatini, Jennifer Lentini:
Would you?: Could you? On a tablet? Analytics of Children's eBook Reading. LAK 2019: 106-110 - 2018
- [j7]Tony Veale, Ekaterina Shutova, Beata Beigman Klebanov, Graeme Hirst, Carlo Strapparava:
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 44(1) (2018) - [c34]Michael Flor, Beata Beigman Klebanov:
Catching Idiomatic Expressions in EFL Essays. Fig-Lang@NAACL-HLT 2018: 34-44 - [c33]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 - [c32]Anastassia Loukina, Klaus Zechner, James V. Bruno, Beata Beigman Klebanov:
Using exemplar responses for training and evaluating automated speech scoring systems. BEA@NAACL-HLT 2018: 1-12 - [c31]Nitin Madnani, Jill Burstein, Norbert Elliot, Beata Beigman Klebanov, Diane Napolitano, Slava Andreyev, Maxwell Schwartz:
Writing Mentor: Self-Regulated Writing Feedback for Struggling Writers. COLING (Demos) 2018: 113-117 - [c30]Beata Beigman Klebanov, Chee Wee Leong, Michael Flor:
A Corpus of Non-Native Written English Annotated for Metaphor. NAACL-HLT (2) 2018: 86-91 - [c29]Anastassia Loukina, Van Rynald T. Liceralde, Beata Beigman Klebanov:
Towards Understanding Text Factors in Oral Reading. NAACL-HLT 2018: 2143-2154 - [c28]Anastassia Loukina, Nitin Madnani, Beata Beigman Klebanov, Abhinav Misra, Georgi Angelov, Ognjen Todic:
Evaluating on-device ASR on Field Recordings from an Interactive Reading Companion. SLT 2018: 964-970 - [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
- [j6]Beata Beigman Klebanov, Jill Burstein, Judith Harackiewicz, Stacy Priniski, Matthew Mulholland:
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. 27(4): 791-818 (2017) - [c27]Beata Beigman Klebanov, Binod Gyawali, Yi Song:
Detecting Good Arguments in a Non-Topic-Specific Way: An Oxymoron? ACL (2) 2017: 244-249 - [c26]Beata Beigman Klebanov, Anastassia Loukina, John Sabatini, Tenaha O'Reilly:
Continuous fluency tracking and the challenges of varying text complexity. BEA@EMNLP 2017: 22-32 - [c25]Jill Burstein, Dan McCaffrey, Beata Beigman Klebanov, Guangming Ling:
Exploring Relationships Between Writing & Broader Outcomes With Automated Writing Evaluation. BEA@EMNLP 2017: 101-108 - [c24]Anastassia Loukina, Beata Beigman Klebanov, Patrick L. Lange, Binod Gyawali, Yao Qian:
Developing speech processing technologies for shared book reading with a computer. WOCCI 2017: 46-51 - 2016
- [b2]Tony Veale, Ekaterina Shutova, Beata Beigman Klebanov:
Metaphor: A Computational Perspective. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01032-3 - [c23]Beata Beigman Klebanov, Chee Wee Leong, E. Dario Gutiérrez, Ekaterina Shutova, Michael Flor:
Semantic classifications for detection of verb metaphors. ACL (2) 2016 - [c22]Beata Beigman Klebanov, Christian Stab, Jill Burstein, Yi Song, Binod Gyawali, Iryna Gurevych:
Argumentation: Content, Structure, and Relationship with Essay Quality. ArgMining@ACL 2016 - [c21]Beata Beigman Klebanov, Michael Flor, Binod Gyawali:
Topicality-Based Indices for Essay Scoring. BEA@NAACL-HLT 2016: 63-72 - [c20]Beata Beigman Klebanov, Jill Burstein, Judith Harackiewicz, Stacy Priniski, Matthew Mulholland:
Enhancing STEM Motivation through Personal and Communal Values: NLP for Assessment of Utility Value in Student Writing. BEA@NAACL-HLT 2016: 199-205 - [c19]Jill Burstein, Beata Beigman Klebanov, Norbert Elliot, Hillary Molloy:
A Left Turn: Automated Feedback and Activity Generation for Student Writers. LTLT 2016: 6-13 - 2014
- [c18]Yi Song, Michael Heilman, Beata Beigman Klebanov, Paul Deane:
Applying Argumentation Schemes for Essay Scoring. ArgMining@ACL 2014: 69-78 - [c17]Beata Beigman Klebanov, Nitin Madnani, Jill Burstein, Swapna Somasundaran:
Content Importance Models for Scoring Writing From Sources. ACL (2) 2014: 247-252 - [c16]Beata Beigman Klebanov, Eyal Beigman:
Difficult Cases: From Data to Learning, and Back. ACL (2) 2014: 390-396 - [c15]Michael Flor, Beata Beigman Klebanov:
ETS Lexical Associations System for the COGALEX-4 Shared Task. CogALex@COLING 2014: 35-45 - 2013
- [j5]Beata Beigman Klebanov, Nitin Madnani, Jill Burstein:
Using Pivot-Based Paraphrasing and Sentiment Profiles to Improve a Subjectivity Lexicon for Essay Data. Trans. Assoc. Comput. Linguistics 1: 99-110 (2013) - [j4]Beata Beigman Klebanov, Jill Burstein, Nitin Madnani:
Sentiment profiles of multiword expressions in test-taker essays: The case of noun-noun compounds. ACM Trans. Speech Lang. Process. 10(3): 12:1-12:15 (2013) - [c14]Beata Beigman Klebanov, Michael Flor:
Word Association Profiles and their Use for Automated Scoring of Essays. ACL (1) 2013: 1148-1158 - [c13]Beata Beigman Klebanov, Michael Flor:
Associative Texture Is Lost In Translation. DiscoMT@ACL 2013: 27-32 - 2012
- [c12]Beata Beigman Klebanov, Derrick Higgins:
Measuring the Use of Factual Information in Test-Taker Essays. BEA@NAACL-HLT 2012: 63-72 - [c11]Beata Beigman Klebanov, Jill Burstein, Nitin Madnani, Adam Faulkner, Joel R. Tetreault:
Building Subjectivity Lexicon(s) from Scratch for Essay Data. CICLing (1) 2012: 591-602 - 2010
- [c10]Beata Beigman Klebanov, Eyal Beigman, Daniel Diermeier:
Vocabulary Choice as an Indicator of Perspective. ACL (2) 2010: 253-257 - [c9]Beata Beigman Klebanov, Eyal Beigman:
A Game-Theoretic Model of Metaphorical Bargaining. ACL 2010: 698-709 - [c8]Beata Beigman Klebanov, Eyal Beigman:
Some Empirical Evidence for Annotation Noise in a Benchmarked Dataset. HLT-NAACL 2010: 438-446
2000 – 2009
- 2009
- [j3]Beata Beigman Klebanov, Eyal Beigman:
From Annotator Agreement to Noise Models. Comput. Linguistics 35(4): 495-503 (2009) - [c7]Eyal Beigman, Beata Beigman Klebanov:
Learning with Annotation Noise. ACL/IJCNLP 2009: 280-287 - 2007
- [b1]Beata Beigman Klebanov:
Lexical cohesion in English texts : experimental and computational investigation (חקר התואם הלקסיקלי בטקסטים באנגלית בכלים ניסויים וחישוביים.). Hebrew University of Jerusalem, Israel, 2007 - [j2]Beata Beigman Klebanov, Eli Shamir:
Reader-based exploration of lexical cohesion. Lang. Resour. Evaluation 41(1): 27-44 (2007) - 2006
- [j1]Beata Beigman Klebanov, Eli Shamir:
Reader-based exploration of lexical cohesion. Lang. Resour. Evaluation 40(2): 109-126 (2006) - [c6]Beata Beigman Klebanov:
Measuring Semantic Relatedness Using People and WordNet. HLT-NAACL 2006 - [c5]Beata Beigman Klebanov, Eli Shamir:
On Lexical Cohesive Behavior of Heads of Definite Descriptions: A Case Study. NLUCS 2006: 109-119 - 2005
- [c4]Beata Beigman Klebanov:
Using Readers to Identify Lexical Cohesive Structures in Texts. ACL 2005: 55-60 - [c3]Beata Beigman Klebanov, Eli Shamir:
Lexical Cohesion: Some Implications of an Empirical Study. NLUCS 2005: 13-21 - 2004
- [c2]Beata Beigman Klebanov, Kevin Knight, Daniel Marcu:
Text Simplification for Information-Seeking Applications. CoopIS/DOA/ODBASE (1) 2004: 735-747 - 2002
- [c1]Beata Klebanov, Peter M. Wiemer-Hastings:
Using LSA for Pronominal Anaphora Resolution. CICLing 2002: 197-199
Coauthor Index
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