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2020 – today
- 2023
[e4]Ekaterina Kochmar, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Nitin Madnani, Anaïs Tack, Victoria Yaneva, Zheng Yuan, Torsten Zesch:
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2023, Toronto, Canada, 13 July 2023. Association for Computational Linguistics 2023 [contents]- 2021
- [b1]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 - [e3]Jill Burstein, Andrea Horbach, Ekaterina Kochmar, Ronja Laarmann-Quante, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Helen Yannakoudakis, Torsten Zesch:
Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications, BEA@EACL, Online, April 20, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-11-4 [contents] - 2020
- [c50]Beata Beigman Klebanov, Nitin Madnani:
Automated Evaluation of Writing - 50 Years and Counting. ACL 2020: 7796-7810 - [c49]Anastassia Loukina, Nitin Madnani, Aoife Cahill, Lili Yao, Matthew S. Johnson
, Brian Riordan, Daniel F. McCaffrey:
Using PRMSE to evaluate automated scoring systems in the presence of label noise. BEA@ACL 2020: 18-29 - [c48]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]Jill Burstein, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Helen Yannakoudakis, Torsten Zesch:
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2020, Online, July 10, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-18-7 [contents]
2010 – 2019
- 2019
- [c47]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 - [c46]Anastassia Loukina, Nitin Madnani, Klaus Zechner:
The many dimensions of algorithmic fairness in educational applications. BEA@ACL 2019: 1-10 - [c45]Su-Youn Yoon, Ching-Ni Hsieh, Klaus Zechner, Matthew Mulholland, Yuan Wang, Nitin Madnani:
Toward Automated Content Feedback Generation for Non-native Spontaneous Speech. BEA@ACL 2019: 306-315 - [c44]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 - [c43]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 - [e1]Helen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch:
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-34-5 [contents] - 2018
- [c42]Burr Settles, Chris Brust, Erin Gustafson, Masato Hagiwara, Nitin Madnani:
Second Language Acquisition Modeling. BEA@NAACL-HLT 2018: 56-65 - [c41]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 - [c40]Nitin Madnani, Aoife Cahill:
Automated Scoring: Beyond Natural Language Processing. COLING 2018: 1099-1109 - [c39]Su-Youn Yoon, Aoife Cahill, Anastassia Loukina, Klaus Zechner, Brian Riordan, Nitin Madnani:
Atypical Inputs in Educational Applications. NAACL-HLT (3) 2018: 60-67 - [c38]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 - 2017
- [c37]Nitin Madnani, Anastassia Loukina, Aoife Cahill:
A Large Scale Quantitative Exploration of Modeling Strategies for Content Scoring. BEA@EMNLP 2017: 457-467 - [c36]Anastassia Loukina, Nitin Madnani, Aoife Cahill:
Speech- and Text-driven Features for Automated Scoring of English Speaking Tasks. SCNLP@EMNLP 2017 2017: 67-77 - [c35]Nitin Madnani, Anastassia Loukina, Alina A. von Davier, Jill Burstein, Aoife Cahill:
Building Better Open-Source Tools to Support Fairness in Automated Scoring. EthNLP@EACL 2017: 41-52 - [c34]Jill Burstein, Nitin Madnani, John Sabatini, Dan McCaffrey, Kietha Biggers, Kelsey Dreier:
Generating Language Activities in Real-Time for English Learners using Language Muse. L@S 2017: 213-215 - 2016
- [j9]Nitin Madnani, Anastassia Loukina:
RSMTool: collection of tools building and evaluating automated scoring models. J. Open Source Softw. 1(3): 33 (2016) - [c33]Nitin Madnani, Jill Burstein, John Sabatini, Kietha Biggers, Slava Andreyev:
Language Muse: Automated Linguistic Activity Generation for English Language Learners. ACL (System Demonstrations) 2016: 79-84 - [c32]Courtney Napoles, Aoife Cahill, Nitin Madnani:
The Effect of Multiple Grammatical Errors on Processing Non-Native Writing. BEA@NAACL-HLT 2016: 1-11 - [c31]Nitin Madnani, Michael Heilman, Aoife Cahill:
Model Combination for Correcting Preposition Selection Errors. BEA@NAACL-HLT 2016: 136-141 - [c30]Nitin Madnani, Aoife Cahill, Brian Riordan:
Automatically Scoring Tests of Proficiency in Music Instruction. BEA@NAACL-HLT 2016: 217-222 - 2015
- [c29]Michael Heilman, Nitin Madnani:
The Impact of Training Data on Automated Short Answer Scoring Performance. BEA@NAACL-HLT 2015: 81-85 - [c28]Nitin Madnani, Martin Chodorow, Aoife Cahill, Melissa Lopez, Yoko Futagi, Yigal Attali:
Preliminary Experiments on Crowdsourced Evaluation of Feedback Granularity. BEA@NAACL-HLT 2015: 162-171 - [c27]Keisuke Sakaguchi, Michael Heilman, Nitin Madnani:
Effective Feature Integration for Automated Short Answer Scoring. HLT-NAACL 2015: 1049-1054 - 2014
- [j8]Joel R. Tetreault, Martin Chodorow, Nitin Madnani:
Bucking the trend: improved evaluation and annotation practices for ESL error detection systems. Lang. Resour. Evaluation 48(1): 5-31 (2014) - [c26]Michael Heilman, Aoife Cahill, Nitin Madnani, Melissa Lopez, Matthew Mulholland, Joel R. Tetreault:
Predicting Grammaticality on an Ordinal Scale. ACL (2) 2014: 174-180 - [c25]Beata Beigman Klebanov, Nitin Madnani, Jill Burstein, Swapna Somasundaran:
Content Importance Models for Scoring Writing From Sources. ACL (2) 2014: 247-252 - [c24]Nitin Madnani, Aoife Cahill:
An Explicit Feedback System for Preposition Errors based on Wikipedia Revisions. BEA@ACL 2014: 79-88 - [i3]Derrick Higgins, Chris Brew, Michael Heilman, Ramon Ziai, Lei Chen, Aoife Cahill, Michael Flor, Nitin Madnani, Joel R. Tetreault, Daniel Blanchard, Diane Napolitano, Chong Min Lee, John Blackmore:
Is getting the right answer just about choosing the right words? The role of syntactically-informed features in short answer scoring. CoRR abs/1403.0801 (2014) - 2013
- [j7]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) - [j6]Nitin Madnani, Bonnie J. Dorr:
Generating targeted paraphrases for improved translation. ACM Trans. Intell. Syst. Technol. 4(3): 40:1-40:25 (2013) - [j5]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) - [c23]Lili Kotlerman, Nitin Madnani, Aoife Cahill:
ParaQuery: Making Sense of Paraphrase Collections. ACL (Conference System Demonstrations) 2013: 145-150 - [c22]Nitin Madnani, Jill Burstein, John Sabatini, Tenaha O'Reilly:
Automated Scoring of a Summary-Writing Task Designed to Measure Reading Comprehension. BEA@NAACL-HLT 2013: 163-168 - [c21]Aoife Cahill, Martin Chodorow, Susanne Wolff, Nitin Madnani:
Detecting Missing Hyphens in Learner Text. BEA@NAACL-HLT 2013: 300-305 - [c20]Aoife Cahill, Nitin Madnani, Joel R. Tetreault, Diane Napolitano:
Robust Systems for Preposition Error Correction Using Wikipedia Revisions. HLT-NAACL 2013: 507-517 - [c19]Michael Heilman, Nitin Madnani:
ETS: Domain Adaptation and Stacking for Short Answer Scoring. SemEval@NAACL-HLT 2013: 275-279 - [c18]Michael Heilman, Nitin Madnani:
HENRY-CORE: Domain Adaptation and Stacking for Text Similarity. *SEM@NAACL-HLT 2013: 96-102 - 2012
- [c17]Nitin Madnani, Joel R. Tetreault, Martin Chodorow:
Exploring Grammatical Error Correction with Not-So-Crummy Machine Translation. BEA@NAACL-HLT 2012: 44-53 - [c16]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 - [c15]Nitin Madnani, Michael Heilman, Joel R. Tetreault, Martin Chodorow:
Identifying High-Level Organizational Elements in Argumentative Discourse. HLT-NAACL 2012: 20-28 - [c14]Nitin Madnani, Joel R. Tetreault, Martin Chodorow:
Re-examining Machine Translation Metrics for Paraphrase Identification. HLT-NAACL 2012: 182-190 - [c13]Michael Heilman, Nitin Madnani:
ETS: Discriminative Edit Models for Paraphrase Scoring. SemEval@NAACL-HLT 2012: 529-535 - 2011
- [c12]Nitin Madnani, Martin Chodorow, Joel R. Tetreault, Alla Rozovskaya:
They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems. ACL (2) 2011: 508-513 - [c11]Robert Krovetz, Paul Deane, Nitin Madnani:
The Web is not a PERSON, Berners-Lee is not an ORGANIZATION, and African-Americans are not LOCATIONS: An Analysis of the Performance of Named-Entity Recognition. MWE@ACL 2011: 57-64 - [c10]Nitin Madnani:
iBLEU: Interactively Debugging and Scoring Statistical Machine Translation Systems. ICSC 2011: 213-214 - [c9]Kristen Parton, Joel R. Tetreault, Nitin Madnani, Martin Chodorow:
E-rating Machine Translation. WMT@EMNLP 2011: 108-115 - 2010
- [j4]Nitin Madnani, Bonnie J. Dorr:
Generating Phrasal and Sentential Paraphrases: A Survey of Data-Driven Methods. Comput. Linguistics 36(3): 341-387 (2010) - [c8]Nitin Madnani, Jordan L. Boyd-Graber, Philip Resnik:
Measuring Transitivity Using Untrained Annotators. Mturk@HLT-NAACL 2010: 188-194 - [c7]Jimmy Lin, Nitin Madnani, Bonnie J. Dorr:
Putting the User in the Loop: Interactive Maximal Marginal Relevance for Query-Focused Summarization. HLT-NAACL 2010: 305-308
2000 – 2009
- 2009
- [j3]Matthew G. Snover, Nitin Madnani, Bonnie J. Dorr, Richard M. Schwartz:
TER-Plus: paraphrase, semantic, and alignment enhancements to Translation Edit Rate. Mach. Transl. 23(2-3): 117-127 (2009) - [c6]Matthew G. Snover, Nitin Madnani, Bonnie J. Dorr, Richard M. Schwartz:
Fluency, Adequacy, or HTER? Exploring Different Human Judgments with a Tunable MT Metric. WMT@EACL 2009: 259-268 - [i2]Nitin Madnani, Hongyan Jing, Nanda Kambhatla, Salim Roukos:
Active Learning for Mention Detection: A Comparison of Sentence Selection Strategies. CoRR abs/0911.1965 (2009) - 2008
- [c5]Nitin Madnani, Philip Resnik, Bonnie J. Dorr, Richard M. Schwartz:
Are Multiple Reference Translations Necessary? Investigating the Value of Paraphrased Reference Translations in Parameter Optimization. AMTA 2008: 143-152 - [i1]Saif M. Mohammad, Bonnie J. Dorr, Melissa Egan, Nitin Madnani, David M. Zajic, Jimmy Lin:
Multiple Alternative Sentence Compressions and Word-Pair Antonymy for Automatic Text Summarization and Recognizing Textual Entailment. TAC 2008 - 2007
- [j2]Nitin Madnani:
Getting started on natural language processing with Python. ACM Crossroads 13(4): 5 (2007) - [c4]Nitin Madnani, Rebecca J. Passonneau, Necip Fazil Ayan, John M. Conroy, Bonnie J. Dorr, Judith Klavans, Dianne P. O'Leary, Judith D. Schlesinger:
Measuring Variability in Sentence Ordering for News Summarization. ENLG 2007 - [c3]Nitin Madnani, Jimmy Lin, Bonnie J. Dorr:
TREC 2007 ciQA Task: University of Maryland. TREC 2007 - [c2]Nitin Madnani, Necip Fazil Ayan, Philip Resnik, Bonnie J. Dorr:
Using Paraphrases for Parameter Tuning in Statistical Machine Translation. WMT@ACL 2007: 120-127 - 2005
- [c1]David Chiang, Adam Lopez, Nitin Madnani, Christof Monz, Philip Resnik, Michael Subotin:
The Hiero Machine Translation System: Extensions, Evaluation, and Analysis. HLT/EMNLP 2005: 779-786 - 2003
- [j1]Bonnie J. Dorr, Necip Fazil Ayan, Nizar Habash, Nitin Madnani, Rebecca Hwa:
Rapid porting of DUSTer to Hindi. ACM Trans. Asian Lang. Inf. Process. 2(2): 118-123 (2003)
Coauthor Index
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