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Elaine Wang 0001
Person information
- affiliation: RAND Corporation, Pittsburgh, PA, USA
- affiliation (PhD 2016): University of Pittsburgh, Learning Research and Development Center, Pittsburgh, PA, USA
Other persons with the same name
- Elaine Wang — disambiguation page
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2020 – today
- 2024
- [c7]Tianwen Li, Zhexiong Liu, Lindsay Clare Matsumura, Elaine Wang, Diane J. Litman, Richard Correnti:
Using Large Language Models to Assess Young Students' Writing Revisions. BEA 2024: 365-380 - 2023
- [c6]Zhexiong Liu, Diane J. Litman, Elaine Wang, Lindsay Clare Matsumura, Richard Correnti:
Predicting the Quality of Revisions in Argumentative Writing. BEA@ACL 2023: 275-287 - [i3]Zhexiong Liu, Diane J. Litman, Elaine Wang, Lindsay Clare Matsumura, Richard Correnti:
Predicting the Quality of Revisions in Argumentative Writing. CoRR abs/2306.00667 (2023) - 2021
- [c5]Diane J. Litman, Haoran Zhang, Richard Correnti
, Lindsay Clare Matsumura, Elaine Wang
A Fairness Evaluation of Automated Methods for Scoring Text Evidence Usage in Writing. AIED (1) 2021: 255-267 - [i2]Tazin Afrin, Elaine Wang, Diane J. Litman, Lindsay Clare Matsumura, Richard Correnti:
Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing. CoRR abs/2107.06990 (2021) - 2020
- [c4]Tazin Afrin, Elaine Wang, Diane J. Litman, Lindsay Clare Matsumura, Richard Correnti:
Annotation and Classification of Evidence and Reasoning Revisions in Argumentative Writing. BEA@ACL 2020: 75-84
2010 – 2019
- 2019
- [c3]Haoran Zhang, Ahmed Magooda
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing. AAAI 2019: 9619-9625 - [i1]Haoran Zhang, Ahmed Magooda, Diane J. Litman, Richard Correnti, Elaine Wang, Lindsay Clare Matsumura, Emily Howe, Rafael Quintana:
eRevise: Using Natural Language Processing to Provide Formative Feedback on Text Evidence Usage in Student Writing. CoRR abs/1908.01992 (2019) - 2017
- [j1]Zahra Rahimi, Diane J. Litman, Richard Correnti
Assessing Students' Use of Evidence and Organization in Response-to-Text Writing: Using Natural Language Processing for Rubric-Based Automated Scoring. Int. J. Artif. Intell. Educ. 27(4): 694-728 (2017) - 2015
- [c2]Zahra Rahimi, Diane J. Litman, Elaine Wang
Incorporating Coherence of Topics as a Criterion in Automatic Response-to-Text Assessment of the Organization of Writing. BEA@NAACL-HLT 2015: 20-30 - 2014
- [c1]Zahra Rahimi, Diane J. Litman, Richard Correnti
Automatic Scoring of an Analytical Response-To-Text Assessment. Intelligent Tutoring Systems 2014: 601-610
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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