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ORCIDRenu Balyan
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2020 – today
- 2024
[c18]Mohamed Jemmali
, Ginger Dragon, Raelyn Mendoza, Daniel Stille, Patrick Poinar, Aditya Ojha, Kevin Baez, Sooyeon Jeong, Renu Balyan, Francisco Iacobelli:
Sorting Pauses in Speech Based Dialog Systems: Effects Of Knowing Whether Pauses in Speech are Mid-Turn or at The End Of the Turn. CSCW Companion 2024: 587-591- 2023
- [j8]Jinnie Shin, Renu Balyan, Michelle P. Banawan, Tracy Arner, Walter L. Leite, Danielle S. McNamara:
Pedagogical discourse markers in online algebra learning: Unraveling instructor's communication using natural language processing. Comput. Educ. 205: 104897 (2023) - [j7]Michelle P. Banawan, Jinnie Shin, Tracy Arner, Renu Balyan, Walter L. Leite, Danielle S. McNamara:
Shared Language: Linguistic Similarity in an Algebra Discussion Forum. Comput. 12(3): 53 (2023) - [j6]Rod D. Roscoe, Renu Balyan, Danielle S. McNamara, Michelle P. Banawan, Dean Schillinger:
Automated strategy feedback can improve the readability of physicians' electronic communications to simulated patients. Int. J. Hum. Comput. Stud. 176: 103059 (2023) - [j5]Bogdan Nicula, Mihai Dascalu, Tracy Arner, Renu Balyan, Danielle S. McNamara:
Automated Assessment of Comprehension Strategies from Self-Explanations Using LLMs. Inf. 14(10): 567 (2023) - [c17]Bogdan Nicula, Marilena Panaite, Tracy Arner, Renu Balyan, Mihai Dascalu, Danielle S. McNamara:
Automated Assessment of Comprehension Strategies from Self-explanations Using Transformers and Multi-task Learning. AIED (Posters/Late Breaking Results/...) 2023: 695-700 - [c16]Kinning Poon, Solomon T. C. Chak, Mohamed Khalefa, Christos Noutsos, Shebuti Rayana, Renu Balyan:
Undergraduate Student Motivation in Research, Science, and Post-Bachelor Education. PEARC 2023: 161-168 - 2022
- [c15]Ryan Ackerman, Francisco Icobelli, Renu Balyan:
Intelligent Tutoring Systems in Healthcare for Low Literacy Population: A Concise Review. CSCI 2022: 1827-1829 - [c14]Renu Balyan, Tracy Arner, Karen Taylor, Jinnie Shin, Michelle P. Banawan, Walter L. Leite, Danielle S. McNamara:
Modeling One-on-one Online Tutoring Discourse using an Accountable Talk Framework. EDM 2022 - [c13]Renu Balyan, Tracy Arner, Tong Li, Ellen Orcutt, Reese Butterfuss, Panayiota Kendeou, Danielle S. McNamara:
Integrating Speech Technology into the iSTART-Early Intelligent Tutoring System. ITS 2022: 362-370 - [c12]Panayiota Kendeou, Ellen Orcutt, Tracy Arner, Tong Li, Renu Balyan, Reese Butterfuss, Micah Watanabe, Danielle S. McNamara:
iSTART-Early: Interactive Strategy Training for Early Readers. ITS 2022: 371-379 - [c11]Michelle P. Banawan, Jinnie Shin, Renu Balyan, Walter L. Leite, Danielle S. McNamara:
Math Discourse Linguistic Components (Cohesive Cues within a Math Discussion Board Discourse). L@S 2022: 389-394 - 2021
- [j4]William Brown III, Renu Balyan, Andrew J. Karter, Scott A. Crossley, Wagahta Semere, Nicholas D. Duran, Courtney R. Lyles, Jennifer Y. Liu, Howard H. Moffet, Ryane Daniels, Danielle S. McNamara, Dean Schillinger:
Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: The ECLIPPSE study. J. Biomed. Informatics 113: 103658 (2021) - [c10]Qian Wan, Scott A. Crossley, Michelle P. Banawan, Renu Balyan, Danielle S. McNamara, Laura K. Allen:
Automated Claim Identification Using NLP Features in Student Argumentative Essays. EDM 2021 - [c9]Michelle P. Banawan, Renu Balyan, Jinnie Shin, Walter L. Leite, Danielle S. McNamara:
Linguistic Features of Discourse within an Algebra Online Discussion Board. EDM 2021 - 2020
- [j3]Renu Balyan, Kathryn S. McCarthy, Danielle S. McNamara:
Applying Natural Language Processing and Hierarchical Machine Learning Approaches to Text Difficulty Classification. Int. J. Artif. Intell. Educ. 30(3): 337-370 (2020)
2010 – 2019
- 2019
- [c8]Marilena Panaite, Stefan Ruseti, Mihai Dascalu, Renu Balyan, Danielle S. McNamara, Stefan Trausan-Matu:
Automated Scoring of Self-explanations Using Recurrent Neural Networks. EC-TEL 2019: 659-663 - 2018
- [j2]Renu Balyan, Niladri Chatterjee:
Factor-based evaluation for English to Hindi MT outputs. Lang. Resour. Evaluation 52(4): 969-996 (2018) - [c7]Marilena Panaite, Mihai Dascalu, Amy M. Johnson, Renu Balyan, Jianmin Dai, Danielle S. McNamara, Stefan Trausan-Matu:
Bring It on! Challenges Encountered While Building a Comprehensive Tutoring System Using ReaderBench. AIED (1) 2018: 409-419 - [c6]Stefan Ruseti, Mihai Dascalu, Amy M. Johnson, Renu Balyan, Kristopher J. Kopp, Danielle S. McNamara, Scott A. Crossley, Stefan Trausan-Matu:
Predicting Question Quality Using Recurrent Neural Networks. AIED (1) 2018: 491-502 - [c5]Renu Balyan, Kathryn S. McCarthy, Danielle S. McNamara:
Comparing Machine Learning Classification Approaches for Predicting Expository Text Difficulty. FLAIRS 2018: 421-426 - [c4]Stefan Ruseti, Mihai Dascalu, Amy M. Johnson, Danielle S. McNamara, Renu Balyan, Kathryn S. McCarthy, Stefan Trausan-Matu:
Scoring Summaries Using Recurrent Neural Networks. ITS 2018: 191-201 - 2017
- [c3]Renu Balyan, Kathryn S. McCarthy, Danielle S. McNamara:
Combining Machine Learning and Natural Language Processing Approach to Assess Literary Text Comprehension. EDM 2017 - 2015
- [j1]Renu Balyan, Niladri Chatterjee:
Translating noun compounds using semantic relations. Comput. Speech Lang. 32(1): 91-108 (2015) - 2013
- [c2]Renu Balyan, Sudip Kumar Naskar, Antonio Toral, Niladri Chatterjee:
A Diagnostic Evaluation Approach for English to Hindi MT Using Linguistic Checkpoints and Error Rates. CICLing (2) 2013: 285-296 - 2011
- [c1]Niladri Chatterjee, Renu Balyan:
Context Resolution of Verb Particle Constructions for English to Hindi Translation. PACLIC 2011: 140-149
Coauthor Index
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