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Michael Flor
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2020 – today
- 2024
- [i2]Jiangang Hao, Wenju Cui, Patrick C. Kyllonen, Emily Kerzabi, Lei Liu, Michael Flor:
Scaling up the Evaluation of Collaborative Problem Solving: Promises and Challenges of Coding Chat Data with ChatGPT. CoRR abs/2411.10246 (2024) - 2023
- [c18]Frank Palma Gomez, Subhadarshi Panda, Michael Flor
, Alla Rozovskaya:
Using Neural Machine Translation for Generating Diverse Challenging Exercises for Language Learner. ACL (1) 2023: 6115-6129 - 2022
- [j4]Michael Flor
Towards automatic annotation of collaborative problem-solving skills in technology-enhanced environments. J. Comput. Assist. Learn. 38(5): 1434-1447 (2022) - [c17]Subhadarshi Panda, Frank Palma Gomez, Michael Flor, Alla Rozovskaya:
Automatic Generation of Distractors for Fill-in-the-Blank Exercises with Round-Trip Neural Machine Translation. ACL (student) 2022: 391-401 - 2020
- [c16]Swapna Somasundaran, Xianyang Chen, Michael Flor:
Emotion Arcs of Student Narratives. NUSE@ACL 2020: 97-107 - [c15]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
2010 – 2019
- 2019
- [c14]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 - [c13]Michael Flor, Michael Fried, Alla Rozovskaya:
A Benchmark Corpus of English Misspellings and a Minimally-supervised Model for Spelling Correction. BEA@ACL 2019: 76-86 - [c12]Brian Riordan, Michael Flor, Robert Pugh:
How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models. BEA@ACL 2019: 116-126 - 2018
- [j3]Swapna Somasundaran, Michael Flor
Towards Evaluating Narrative Quality In Student Writing. Trans. Assoc. Comput. Linguistics 6: 91-106 (2018) - [c11]Michael Flor
Catching Idiomatic Expressions in EFL Essays. Fig-Lang@NAACL-HLT 2018: 34-44 - [c10]Michael Flor, Brian Riordan:
A Semantic Role-based Approach to Open-Domain Automatic Question Generation. BEA@NAACL-HLT 2018: 254-263 - [c9]Beata Beigman Klebanov, Chee Wee Leong, Michael Flor
A Corpus of Non-Native Written English Annotated for Metaphor. NAACL-HLT (2) 2018: 86-91 - 2017
- [c8]Michael Flor
Sentiment Analysis and Lexical Cohesion for the Story Cloze Task. LSDSem@EACL 2017: 62-67 - 2016
- [c7]Beata Beigman Klebanov, Chee Wee Leong, E. Dario Gutiérrez, Ekaterina Shutova, Michael Flor
Semantic classifications for detection of verb metaphors. ACL (2) 2016 - [c6]Michael Flor
Automated classification of collaborative problem solving interactions in simulated science tasks. BEA@NAACL-HLT 2016: 31-41 - [c5]Beata Beigman Klebanov, Michael Flor
Topicality-Based Indices for Essay Scoring. BEA@NAACL-HLT 2016: 63-72 - 2014
- [c4]Michael Flor
ETS Lexical Associations System for the COGALEX-4 Shared Task. CogALex@COLING 2014: 35-45 - [i1]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
- [j2]Michael Flor
A fast and flexible architecture for very large word n-gram datasets. Nat. Lang. Eng. 19(1): 61-93 (2013) - [c3]Beata Beigman Klebanov, Michael Flor:
Word Association Profiles and their Use for Automated Scoring of Essays. ACL (1) 2013: 1148-1158 - [c2]Beata Beigman Klebanov, Michael Flor:
Associative Texture Is Lost In Translation. DiscoMT@ACL 2013: 27-32 - 2012
- [j1]Michael Flor:
Four types of context for automatic spelling correction. Trait. Autom. des Langues 53(3): 61-99 (2012) - [c1]Michael Flor, Yoko Futagi:
On using context for automatic correction of non-word misspellings in student essays. BEA@NAACL-HLT 2012: 105-115
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