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Andrea Horbach
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2020 – today
- 2024
- [j3]Jennifer Meyer
, Thorben Jansen
Using LLMs to bring evidence-based feedback into the classroom: AI-generated feedback increases secondary students' text revision, motivation, and positive emotions. Comput. Educ. Artif. Intell. 6: 100199 (2024) - [j2]Ronja Schiller, Johanna Fleckenstein, Ute Mertens
Understanding the effectiveness of automated feedback: Using process data to uncover the role of behavioral engagement. Comput. Educ. 223: 105163 (2024) - [c33]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 - [c32]Nils-Jonathan Schaller, Yuning Ding, Andrea Horbach, Jennifer Meyer, Thorben Jansen:
Fairness in Automated Essay Scoring: A Comparative Analysis of Algorithms on German Learner Essays from Secondary Education. BEA 2024: 210-221 - [c31]Yuning Ding, Julian Lohmann, Nils-Jonathan Schaller, Thorben Jansen, Andrea Horbach:
Transfer Learning of Argument Mining in Student Essays. BEA 2024: 439-449 - [c30]Matthew Shardlow, Fernando Alva-Manchego, Riza Batista-Navarro, Stefan Bott, Saúl Calderón Ramírez, Rémi Cardon, Thomas François, Akio Hayakawa, Andrea Horbach, Anna Hülsing, Yusuke Ide, Joseph Marvin Imperial, Adam Nohejl, Kai North, Laura Occhipinti, Nelson Perez-Rojas, Nishat Raihan, Tharindu Ranasinghe, Martin Solis-Salazar, Sanja Stajner, Marcos Zampieri, Horacio Saggion:
The BEA 2024 Shared Task on the Multilingual Lexical Simplification Pipeline. BEA 2024: 571-589 - [c29]Nils-Jonathan Schaller, Andrea Horbach, Lars Ingver Höft, Yuning Ding, Jan Luca Bahr, Jennifer Meyer, Thorben Jansen:
DARIUS: A Comprehensive Learner Corpus for Argument Mining in German-Language Essays. LREC/COLING 2024: 4356-4367 - [c28]Marie Bexte, Andrea Horbach, Torsten Zesch:
EVil-Probe - a Composite Benchmark for Extensive Visio-Linguistic Probing. LREC/COLING 2024: 6682-6700 - [c27]Yuning Ding, Omid Kashefi, Swapna Somasundaran, Andrea Horbach:
When Argumentation Meets Cohesion: Enhancing Automatic Feedback in Student Writing. LREC/COLING 2024: 17513-17524 - [c26]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 - [e3]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
- [c25]Marie Bexte, Andrea Horbach, Torsten Zesch:
Similarity-Based Content Scoring - A more Classroom-Suitable Alternative to Instance-Based Scoring? ACL (Findings) 2023: 1892-1903 - [c24]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 - [c23]Yuning Ding, Marie Bexte, Andrea Horbach:
CATALPA_EduNLP at PragTag-2023. ArgMining@EMNLP 2023: 197-201 - [e2]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] - 2022
- [c22]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
- [c21]Christian Haring, Rene Lehmann, Andrea Horbach, Torsten Zesch:
C-Test Collector: A Proficiency Testing Application to Collect Training Data for C-Tests. BEA@EACL 2021: 180-184 - [e1]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
- [c20]Yuning Ding, Brian Riordan, Andrea Horbach, Aoife Cahill, Torsten Zesch:
Don't take "nswvtnvakgxpm" for an answer -The surprising vulnerability of automatic content scoring systems to adversarial input. COLING 2020: 882-892 - [c19]Yuning Ding, Andrea Horbach, Torsten Zesch:
Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels. AACL/IJCNLP 2020: 347-357 - [c18]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
- 2019
- [b1]Andrea Horbach:
Analyzing short-answer questions and their automatic scoring - studies on semantic relations in reading comprehension and the reduction of human annotation effort. Saarland University, Saarbrücken, Germany, 2019 - 2018
- [c17]Andrea Horbach, Sebastian Stennmanns, Torsten Zesch:
Cross-Lingual Content Scoring. BEA@NAACL-HLT 2018: 410-419 - [c16]Andrea Horbach, Manfred Pinkal:
Semi-Supervised Clustering for Short Answer Scoring. LREC 2018 - [c15]Torsten Zesch, Andrea Horbach:
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit. LREC 2018 - 2017
- [c14]Andrea Horbach, Yuning Ding, Torsten Zesch:
The Influence of Spelling Errors on Content Scoring Performance. NLP-TEA@IJCNLP 2017: 45-53 - [c13]Brian Riordan, Andrea Horbach, Aoife Cahill, Torsten Zesch, Chong Min Lee:
Investigating neural architectures for short answer scoring. BEA@EMNLP 2017: 159-168 - [c12]Andrea Horbach, Dirk Scholten-Akoun, Yuning Ding, Torsten Zesch:
Fine-grained essay scoring of a complex writing task for native speakers. BEA@EMNLP 2017: 357-366 - 2016
- [c11]Jakob Prange, Andrea Horbach, Stefan Thater:
UdS-(retrain|distributional|surface): Improving POS Tagging for OOV Words in German CMC and Web Data. WAC@ACL 2016: 63-71 - [c10]Andrea Horbach, Alexis Palmer:
Investigating Active Learning for Short-Answer Scoring. BEA@NAACL-HLT 2016: 301-311 - [c9]Stefan Ecker, Andrea Horbach, Stefan Thater:
Unsupervised Ranked Cross-Lingual Lexical Substitution for Low-Resource Languages. LREC 2016 - [c8]Andrea Horbach, Andrea Hensler, Sabine Krome, Jakob Prange, Werner Scholze-Stubenrecht, Diana Steffen, Stefan Thater, Christian Wellner, Manfred Pinkal:
A Corpus of Literal and Idiomatic Uses of German Infinitive-Verb Compounds. LREC 2016 - [c7]Lena Keiper, Andrea Horbach, Stefan Thater:
Improving POS Tagging of German Learner Language in a Reading Comprehension Scenario. LREC 2016 - 2015
- [j1]Andrea Horbach, Stefan Thater, Diana Steffen, Peter M. Fischer, Andreas Witt, Manfred Pinkal:
Internet Corpora: A Challenge for Linguistic Processing. Datenbank-Spektrum 15(1): 41-47 (2015) - [c6]Simon Ostermann, Andrea Horbach, Manfred Pinkal:
Annotating Entailment Relations for Shortanswer Questions. NLP-TEA@ACL/IJCNLP 2015: 49-58 - 2014
- [c5]Simon Ostermann, Nikolina Koleva, Alexis Palmer, Andrea Horbach:
CSGS: Adapting a Short Answer Scoring System for Multiple-choice Reading Comprehension Exercises. CLEF (Working Notes) 2014: 1427-1437 - [c4]Andrea Horbach, Diana Steffen, Stefan Thater, Manfred Pinkal:
Improving the Performance of Standard Part-of-Speech Taggers for Computer-Mediated Communication. KONVENS 2014: 171-177 - [c3]Andrea Horbach, Alexis Palmer, Magdalena Wolska:
Finding a Tradeoff between Accuracy and Rater's Workload in Grading Clustered Short Answers. LREC 2014: 588-595 - [c2]Magdalena Wolska, Andrea Horbach, Alexis Palmer:
Computer-Assisted Scoring of Short Responses: The Efficiency of a Clustering-Based Approach in a Real-Life Task. PolTAL 2014: 298-310 - 2013
- [c1]Andrea Horbach, Alexis Palmer, Manfred Pinkal:
Using the text to evaluate short answers for reading comprehension exercises. *SEM@NAACL-HLT 2013: 286-295
Coauthor Index
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last updated on 2024-11-07 21:28 CET by the dblp team
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