Torsten Zesch

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 66

Top Venues

Darmstadt University of Technology (PHD)

Education History

Darmstadt University of Technology

PHD

Publications

Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. CoRR (2024)
Florian Ludwig, Klara Dolos, Ana Alves-Pinto, Torsten Zesch
Unraveling the Dynamics of Semi-Supervised Hate Speech Detection: The Impact of Unlabeled Data Characteristics and Pseudo-Labeling Strategies. EACL (Findings) (2024)
Piush Aggarwal, Jawar Mehrabanian, Weigang Huang, Özge Alaçam, Torsten Zesch
Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models? EACL (Findings) (2024)
Piush Aggarwal, Jawar Mehrabanian, Weigang Huang, Özge Alaçam, Torsten Zesch
Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models? CoRR (2024)
Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. LREC/COLING (2024)
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)
Luca Benedetto, Shiva Taslimipoor, Andrew Caines, Diana Galván-Sosa, George Dueñas, Anastassia Loukina, Torsten Zesch
Workshop on Automatic Evaluation of Learning and Assessment Content. AIED Companion (2) (2024)
Josef Ruppenhofer, Matthias Schwendemann, Annette Portmann, Katrin Wisniewski, Torsten Zesch
Every Verb in Its Right Place? A Roadmap for Operationalizing Developmental Stages in the Acquisition of L2 German. LREC/COLING (2024)
Torsten Zesch, Michael Hanses, Niels Seidel, Piush Aggarwal, Dirk Veiel, Claudia de Witt
FernUni LLM Experimental Infrastructure (FLEXI) - Enabling Experimentation and Innovation in Higher Education Through Access to Open Large Language Models. CoRR (2024)
Marie Bexte, Andrea Horbach, Torsten Zesch
EVil-Probe - a Composite Benchmark for Extensive Visio-Linguistic Probing. LREC/COLING (2024)
Christian Gold, Ronja Laarmann-Quante, Torsten Zesch
Recognizing Learner Handwriting Retaining Orthographic Errors for Enabling Fine-Grained Error Feedback. BEA@ACL (2023)
Marie Bexte, Andrea Horbach, Torsten Zesch
Similarity-Based Content Scoring - A more Classroom-Suitable Alternative to Instance-Based Scoring? ACL (Findings) (2023)
Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee
HateProof: Are Hateful Meme Detection Systems really Robust? CoRR (2023)
Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee
HateProof: Are Hateful Meme Detection Systems really Robust? WWW (2023)
Henning Schäfer, Ahmad Idrissi-Yaghir, Jeanette Bewersdorff, Sameh Frihat, Christoph M. Friedrich, Torsten Zesch
Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge. J. Biomed. Informatics 143 (2023)
Piush Aggarwal, Torsten Zesch
Bye, Bye, Maintenance Work? Using Model Cloning to Approximate the Behavior of Legacy Tools. KONVENS (2022)
Frederike Zufall, Marius Hamacher, Katharina Kloppenborg, Torsten Zesch
A Legal Approach to Hate Speech - Operationalizing the EU's Legal Framework against the Expression of Hatred as an NLP Task. NLLP@EMNLP (2022)
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)
Piush Aggarwal, Torsten Zesch
Analyzing the Real Vulnerability of Hate Speech Detection Systems against Targeted Intentional Noise. W-NUT@COLING (2022)
Christian Gold, Torsten Zesch
CNN-Based Ruled Line Removal in Handwritten Documents. ICFHR (2022)
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)
Onno Eberhard, Torsten Zesch
Effects of Layer Freezing when Transferring DeepSpeech to New Languages. CoRR (2021)
Christian Gold, Dario van den Boom, Torsten Zesch
Personalizing Handwriting Recognition Systems with Limited User-Specific Samples. ICDAR (4) (2021)
Aashish Agarwal, Torsten Zesch
Robustness of end-to-end Automatic Speech Recognition Models - A Case Study using Mozilla DeepSpeech. CoRR (2021)
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)
Christian Gold, Torsten Zesch
Exploring the Impact of Handwriting Recognition on the Automated Scoring of Handwritten Student Answers. ICFHR (2020)
Frederike Zufall, Huangpan Zhang, Katharina Kloppenborg, Torsten Zesch
Operationalizing the legal concept of 'Incitement to Hatred' as an NLP task. CoRR (2020)
Venelin Kovatchev, Darina Gold, Maria Antònia Martí, Maria Salamó, Torsten Zesch
Decomposing and Comparing Meaning Relations: Paraphrasing, Textual Entailment, Contradiction, and Specificity. LREC (2020)
Yuning Ding, Andrea Horbach, Torsten Zesch
Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels. AACL/IJCNLP (2020)
Duc Duy Pham, Jonas Müller, Piush Aggarwal, Amit Khatri, Mayank Sharma, Torsten Zesch, Josef Pauli
Fully vs. Weakly Supervised Caries Localization in Smartphone Images with CNNs. ICPR Workshops (1) (2020)
Mohamed Ali Hadj Taieb, Torsten Zesch, Mohamed Ben Aouicha
A survey of semantic relatedness evaluation datasets and procedures. Artif. Intell. Rev. 53 (6) (2020)
Aashish Agarwal, Torsten Zesch
LTL-UDE at Low-Resource Speech-to-Text Shared Task: Investigating Mozilla DeepSpeech in a low-resource setting. SwissText/KONVENS (2020)
Frederike Zufall, Tobias Horsmann, Torsten Zesch
From legal to technical concept: Towards an automated classification of German political Twitter postings as criminal offenses. NAACL-HLT (1) (2019)
Aashish Agarwal, Torsten Zesch
German End-to-end Speech Recognition based on DeepSpeech. KONVENS (2019)
Huangpan Zhang, Michael Wojatzki, Tobias Horsmann, Torsten Zesch
ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter. SemEval@NAACL-HLT (2019)
Piush Aggarwal, Tobias Horsmann, Michael Wojatzki, Torsten Zesch
LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness. SemEval@NAACL-HLT (2019)
Darina Gold, Torsten Zesch
Divide and Extract - Disentangling Clause Splitting and Proposition Extraction. RANLP (2019)
Darina Gold, Venelin Kovatchev, Torsten Zesch
Annotating and analyzing the interactions between meaning relations. LAW@ACL (2019)
Tobias Horsmann, Torsten Zesch
DeepTC - An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments. LREC (2018)
Michael Wojatzki, Torsten Zesch
Comparing Target Sets for Stance Detection: A Case Study on YouTube Comments on Death Penalty. KONVENS (2018)
Michael Wojatzki, Saif Mohammad, Torsten Zesch, Svetlana Kiritchenko
Quantifying Qualitative Data for Understanding Controversial Issues. LREC (2018)
Torsten Zesch, Andrea Horbach
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit. LREC (2018)
Andrea Horbach, Sebastian Stennmanns, Torsten Zesch
Cross-Lingual Content Scoring. BEA@NAACL-HLT (2018)
Michael Wojatzki, Torsten Zesch, Saif Mohammad, Svetlana Kiritchenko
Agree or Disagree: Predicting Judgments on Nuanced Assertions. *SEM@NAACL-HLT (2018)
Michael Wojatzki, Tobias Horsmann, Darina Gold, Torsten Zesch
Do Women Perceive Hate Differently: Examining the Relationship Between Hate Speech, Gender, and Agreement Judgments. KONVENS (2018)
Darina Gold, Marie Bexte, Torsten Zesch
Corpus of Aspect-based Sentiment in Political Debates. KONVENS (2018)
Osama Hamed, Torsten Zesch
Exploring the effects of diacritization on Arabic frequency counts. ICNLSP (2018)
Osama Hamed, Torsten Zesch
A Survey and Comparative Study of Arabic Diacritization Tools. J. Lang. Technol. Comput. Linguistics 32 (1) (2017)
Michael Wojatzki, Torsten Zesch
Neural, Non-neural and Hybrid Stance Detection in Tweets on Catalan Independence. IberEval@SEPLN (2017)
Brian Riordan, Andrea Horbach, Aoife Cahill, Torsten Zesch, Chong Min Lee
Investigating neural architectures for short answer scoring. BEA@EMNLP (2017)
Andrea Horbach, Yuning Ding, Torsten Zesch
The Influence of Spelling Errors on Content Scoring Performance. NLP-TEA@IJCNLP (2017)
Osama Hamed, Torsten Zesch
The Role of Diacritics in Designing Lexical Recognition Tests for Arabic. ACLING (2017)
Andrea Horbach, Dirk Scholten-Akoun, Yuning Ding, Torsten Zesch
Fine-grained essay scoring of a complex writing task for native speakers. BEA@EMNLP (2017)
Darina Benikova, Torsten Zesch
Same same, but different: Compositionality of paraphrase granularity levels. RANLP (2017)
Tobias Horsmann, Torsten Zesch
Do LSTMs really work so well for PoS tagging? - A replication study. EMNLP (2017)
Darina Benikova, Michael Wojatzki, Torsten Zesch
What Does This Imply? Examining the Impact of Implicitness on the Perception of Hate Speech. GSCL (2017)
Torsten Zesch, Tobias Horsmann
FlexTag: A Highly Flexible PoS Tagging Framework. LREC (2016)
Michael Wojatzki, Torsten Zesch
Stance-based Argument Mining - Modeling Implicit Argumentation Using Stance. KONVENS (2016)
Michael Wojatzki, Oren Melamud, Torsten Zesch
Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises. BEA@NAACL-HLT (2016)
Tobias Horsmann, Torsten Zesch
Assigning Fine-grained PoS Tags based on High-precision Coarse-grained Tagging. COLING (2016)
Ildikó Pilán, Elena Volodina, Torsten Zesch
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks. COLING (2016)
Tobias Horsmann, Torsten Zesch
LTL-UDE $@$ EmpiriST 2015: Tokenization and PoS Tagging of Social Media Text. WAC@ACL (2016)
Preslav Nakov, Torsten Zesch
Computational semantic analysis of language: SemEval-2014 and beyond. Lang. Resour. Evaluation 50 (1) (2016)
Michael Wojatzki, Torsten Zesch
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers. SemEval@NAACL-HLT (2016)
Tobias Horsmann, Torsten Zesch
Building a Social Media Adapted PoS Tagger Using FlexTag -- A Case Study on Italian Tweets. CLiC-it/EVALITA (2016)
Lisa Beinborn, Torsten Zesch, Iryna Gurevych
Predicting the Spelling Difficulty of Words for Language Learners. BEA@NAACL-HLT (2016)
Torsten Zesch, Michael Heilman, Aoife Cahill
Reducing Annotation Efforts in Supervised Short Answer Scoring. BEA@NAACL-HLT (2015)
Tobias Horsmann, Nicolai Erbs, Torsten Zesch
Fast or Accurate? - A Comparative Evaluation of PoS Tagging Models. GSCL (2015)
Torsten Zesch, Michael Wojatzki, Dirk Scholten-Akoun
Task-Independent Features for Automated Essay Grading. BEA@NAACL-HLT (2015)
Osama Hamed, Torsten Zesch
The Automatic Generation of Nonwords for Lexical Recognition Tests. LTC (2015)
Lisa Beinborn, Torsten Zesch, Iryna Gurevych
Candidate evaluation strategies for improved difficulty prediction of language tests. BEA@NAACL-HLT (2015)
Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, Torsten Zesch
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments. ACL (System Demonstrations) (2014)
Torsten Zesch, Oren Melamud
Automatic Generation of Challenging Distractors Using Context-Sensitive Inference Rules. BEA@ACL (2014)
Lisa Beinborn, Torsten Zesch, Iryna Gurevych
Predicting the Difficulty of Language Proficiency Tests. Trans. Assoc. Comput. Linguistics 2 (2014)
Nicolai Erbs, Iryna Gurevych, Torsten Zesch
Sense and Similarity: A Study of Sense-level Similarity Measures. *SEM@COLING (2014)
Johannes Daxenberger, Oliver Ferschke, Iryna Gurevych, Torsten Zesch
DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data. ACL (System Demonstrations) (2014)
Daniel Bär, Torsten Zesch, Iryna Gurevych
DKPro Similarity: An Open Source Framework for Text Similarity. ACL (Conference System Demonstrations) (2013)
Chris Biemann, Felix Bildhauer, Stefan Evert, Dirk Goldhahn, Uwe Quasthoff, Roland Schäfer, Johannes Simon, Leonard Swiezinski, Torsten Zesch
Scalable Construction of High-Quality Web Corpora. J. Lang. Technol. Comput. Linguistics 28 (2) (2013)
Nicolai Erbs, Iryna Gurevych, Torsten Zesch
Hierarchy Identification for Automatically Generating Table-of-Contents. RANLP (2013)
Ioannis Korkontzelos, Torsten Zesch, Fabio Massimo Zanzotto, Chris Biemann
SemEval-2013 Task 5: Evaluating Phrasal Semantics. SemEval@NAACL-HLT (2013)
Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis. SemEval@NAACL-HLT (2013)
Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych
Recognizing Partial Textual Entailment. ACL (2) (2013)
Iryna Gurevych, Torsten Zesch
Collective intelligence and language resources: introduction to the special issue on collaboratively constructed language resources. Lang. Resour. Evaluation 47 (1) (2013)
Lisa Beinborn, Torsten Zesch, Iryna Gurevych
Cognate Production using Character-based Machine Translation. IJCNLP (2013)
Tristan Miller, Nicolai Erbs, Hans-Peter Zorn, Torsten Zesch, Iryna Gurevych
DKPro WSD: A Generalized UIMA-based Framework for Word Sense Disambiguation. ACL (Conference System Demonstrations) (2013)
Torsten Zesch, Jens Haase
HOO 2012 Shared Task: UKP Lab System Description. BEA@NAACL-HLT (2012)
Tristan Miller, Chris Biemann, Torsten Zesch, Iryna Gurevych
Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation. COLING (2012)
Torsten Zesch
Detecting Malapropisms Using Measures of Contextual Fitness. Trait. Autom. des Langues 53 (3) (2012)
Daniel Bär, Torsten Zesch, Iryna Gurevych
Text Reuse Detection using a Composition of Text Similarity Measures. COLING (2012)
Nicolai Erbs, Iryna Gurevych, Torsten Zesch, Eneko Agirre, Aitor Soroa, Ander Barrena, Ugaitz Etxebarria
UKP-UBC Entity Linking at TAC-KBP. TAC (2012)
Daniel Bär, Chris Biemann, Iryna Gurevych, Torsten Zesch
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures. SemEval@NAACL-HLT (2012)
Torsten Zesch
Measuring Contextual Fitness Using Error Contexts Extracted from the Wikipedia Revision History. EACL (2012)
György Szarvas, Torsten Zesch, Iryna Gurevych
Combining Heterogeneous Knowledge Resources for Improved Distributional Semantic Models. CICLing (1) (2011)
Oliver Ferschke, Torsten Zesch, Iryna Gurevych
Wikipedia Revision Toolkit: Efficiently Accessing Wikipedia's Edit History. ACL (System Demonstrations) (2011)
Daniel Bär, Nicolai Erbs, Torsten Zesch, Iryna Gurevych
Wikulu: An Extensible Architecture for Integrating Natural Language Processing Techniques with Wikis. ACL (System Demonstrations) (2011)
Nicolai Erbs, Torsten Zesch, Iryna Gurevych
Link Discovery: A Comprehensive Analysis. ICSC (2011)
Nicolai Erbs, Daniel Bär, Iryna Gurevych, Torsten Zesch
First Aid for Information Chaos in Wikis - Collaborative Information Management Enhanced Through Language Technology. ISI (2011)
Torsten Zesch
Helping Our Own 2011: UKP Lab System Description. ENLG (2011)
Daniel Bär, Torsten Zesch, Iryna Gurevych
A Reflective View on Text Similarity. RANLP (2011)
Torsten Zesch, Iryna Gurevych
The More the Better? Assessing the Influence of Wikipedia's Growth on Semantic Relatedness Measures. LREC (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Torsten Zesch