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2020 – today
- 2024
[c10]Marie Bexte, Andrea Horbach, Lena Schützler, Oliver Christ, Torsten Zesch:
Scoring with Confidence? - Exploring High-confidence Scoring for Saving Manual Grading Effort. BEA 2024: 119-124- [c9]Marie Bexte, Andrea Horbach, Torsten Zesch:
EVil-Probe - a Composite Benchmark for Extensive Visio-Linguistic Probing. LREC/COLING 2024: 6682-6700 - [c8]Marie Bexte, Andrea Horbach, Torsten Zesch:
Rainbow - A Benchmark for Systematic Testing of How Sensitive Visio-Linguistic Models are to Color Naming. EACL (1) 2024: 1858-1875 - [e1]Ekaterina Kochmar, Marie Bexte, Jill Burstein, Andrea Horbach, Ronja Laarmann-Quante, Anaïs Tack, Victoria Yaneva, Zheng Yuan:
Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2024, Mexico City, Mexico, June 20, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-100-1 [contents] - 2023
- [c7]Marie Bexte, Andrea Horbach, Torsten Zesch:
Similarity-Based Content Scoring - A more Classroom-Suitable Alternative to Instance-Based Scoring? ACL (Findings) 2023: 1892-1903 - [c6]Yuning Ding, Marie Bexte, Andrea Horbach:
Score It All Together: A Multi-Task Learning Study on Automatic Scoring of Argumentative Essays. ACL (Findings) 2023: 13052-13063 - [c5]Yuning Ding, Marie Bexte, Andrea Horbach:
CATALPA_EduNLP at PragTag-2023. ArgMining@EMNLP 2023: 197-201 - 2022
- [c4]Marie Bexte, Ronja Laarmann-Quante, Andrea Horbach, Torsten Zesch:
LeSpell - A Multi-Lingual Benchmark Corpus of Spelling Errors to Develop Spellchecking Methods for Learner Language. LREC 2022: 697-706 - 2021
- [c3]Henning Schäfer, Ahmad Idrissi-Yaghir, Wolfgang Galetzka, Marie Bexte, Christoph M. Friedrich:
WisPerMed Text at TREC Clinical Trials Track 2021. TREC 2021 - 2020
- [c2]Andrea Horbach, Itziar Aldabe, Marie Bexte, Oier Lopez de Lacalle, Montse Maritxalar:
Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions. LREC 2020: 1753-1762
2010 – 2019
- 2018
- [c1]Darina Gold, Marie Bexte, Torsten Zesch:
Corpus of Aspect-based Sentiment in Political Debates. KONVENS 2018: 89-99
Coauthor Index
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