What to be? - Electronic Career Guidance Based on Semantic Relatedness. - Iryna Gurevych; Christof Müller; Torsten Zesch (ACL, 2007)

Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance. - Saif M. Mohammad; Iryna Gurevych; Graeme Hirst; Torsten Zesch (EMNLP-CoNLL, 2007)

Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets. - Torsten Zesch; Iryna Gurevych; Max Mühlhäuser (HLT-NAACL (Short Papers), 2007)

Using Wiktionary for Computing Semantic Relatedness. - Torsten Zesch; Christof Müller; Iryna Gurevych (AAAI, 2008)

Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary. - Torsten Zesch; Christof Müller; Iryna Gurevych (LREC, 2008)

Using Similarity Measures for Context-Aware User Interfaces. - Melanie Hartmann; Torsten Zesch; Max Mühlhäuser; Iryna Gurevych (ICSC, 2008)

Graph-Theoretic Analysis of Collaborative Knowledge Bases in Natural Language Processing. - Konstantina Garoufi; Torsten Zesch; Iryna Gurevych (ISWC (Posters & Demos), 2008)

Approximate Matching for Evaluating Keyphrase Extraction. - Torsten Zesch; Iryna Gurevych (RANLP, 2009)

An architecture to support intelligent user interfaces for Wikis by means of Natural Language Processing. - Johannes Hoffart; Torsten Zesch; Iryna Gurevych (Int. Sym. Wikis, 2009)

The More the Better? Assessing the Influence of Wikipedia's Growth on Semantic Relatedness Measures. - Torsten Zesch; Iryna Gurevych (LREC, 2010)

Wisdom of crowds versus wisdom of linguists - measuring the semantic relatedness of words. - Torsten Zesch; Iryna Gurevych (Nat. Lang. Eng., 2010)

Study of semantic relatedness of words using collaboratively constructed semantic resources. - Torsten Zesch (2010)

Wikulu: An Extensible Architecture for Integrating Natural Language Processing Techniques with Wikis. - Daniel Bär; Nicolai Erbs; Torsten Zesch; Iryna Gurevych (ACL (System Demonstrations), 2011)

Wikipedia Revision Toolkit: Efficiently Accessing Wikipedia's Edit History. - Oliver Ferschke; Torsten Zesch; Iryna Gurevych (ACL (System Demonstrations), 2011)

Combining Heterogeneous Knowledge Resources for Improved Distributional Semantic Models. - György Szarvas; Torsten Zesch; Iryna Gurevych (CICLing (1), 2011)

Helping Our Own 2011: UKP Lab System Description. - Torsten Zesch (ENLG, 2011)

First Aid for Information Chaos in Wikis - Collaborative Information Management Enhanced Through Language Technology. - Nicolai Erbs; Daniel Bär; Iryna Gurevych; Torsten Zesch (ISI, 2011)

A Reflective View on Text Similarity. - Daniel Bär; Torsten Zesch; Iryna Gurevych (RANLP, 2011)

Link Discovery: A Comprehensive Analysis. - Nicolai Erbs; Torsten Zesch; Iryna Gurevych (ICSC, 2011)

HOO 2012 Shared Task: UKP Lab System Description. - Torsten Zesch; Jens Haase (BEA@NAACL-HLT, 2012)

Text Reuse Detection using a Composition of Text Similarity Measures. - Daniel Bär; Torsten Zesch; Iryna Gurevych (COLING, 2012)

Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation. - Tristan Miller; Chris Biemann; Torsten Zesch; Iryna Gurevych (COLING, 2012)

Measuring Contextual Fitness Using Error Contexts Extracted from the Wikipedia Revision History. - Torsten Zesch (EACL, 2012)

UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures. - Daniel Bär; Chris Biemann; Iryna Gurevych; Torsten Zesch (SemEval@NAACL-HLT, 2012)

UKP-UBC Entity Linking at TAC-KBP. - Nicolai Erbs; Iryna Gurevych; Torsten Zesch; Eneko Agirre; Aitor Soroa; Ander Barrena; Ugaitz Etxebarria (TAC, 2012)

Detecting Malapropisms Using Measures of Contextual Fitness. - Torsten Zesch (Trait. Autom. des Langues, 2012)

DKPro Similarity: An Open Source Framework for Text Similarity. - Daniel Bär; Torsten Zesch; Iryna Gurevych (ACL (Conference System Demonstrations), 2013)

Recognizing Partial Textual Entailment. - Omer Levy; Torsten Zesch; Ido Dagan; Iryna Gurevych (ACL (2), 2013)

DKPro WSD: A Generalized UIMA-based Framework for Word Sense Disambiguation. - Tristan Miller; Nicolai Erbs; Hans-Peter Zorn; Torsten Zesch; Iryna Gurevych (ACL (Conference System Demonstrations), 2013)

Cognate Production using Character-based Machine Translation. - Lisa Beinborn; Torsten Zesch; Iryna Gurevych (IJCNLP, 2013)

Hierarchy Identification for Automatically Generating Table-of-Contents. - Nicolai Erbs; Iryna Gurevych; Torsten Zesch (RANLP, 2013)

SemEval-2013 Task 5: Evaluating Phrasal Semantics. - Ioannis Korkontzelos; Torsten Zesch; Fabio Massimo Zanzotto; Chris Biemann (SemEval@NAACL-HLT, 2013)

UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis. - Omer Levy; Torsten Zesch; Ido Dagan; Iryna Gurevych (SemEval@NAACL-HLT, 2013)

Scalable Construction of High-Quality Web Corpora. - Chris Biemann; Felix Bildhauer; Stefan Evert; Dirk Goldhahn; Uwe Quasthoff; Roland Schäfer; Johannes Simon; Leonard Swiezinski; Torsten Zesch (J. Lang. Technol. Comput. Linguistics, 2013)

Collective intelligence and language resources: introduction to the special issue on collaboratively constructed language resources. - Iryna Gurevych; Torsten Zesch (Lang. Resour. Evaluation, 2013)

DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data. - Johannes Daxenberger; Oliver Ferschke; Iryna Gurevych; Torsten Zesch (ACL (System Demonstrations), 2014)

DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments. - Nicolai Erbs; Pedro Bispo Santos; Iryna Gurevych; Torsten Zesch (ACL (System Demonstrations), 2014)

Automatic Generation of Challenging Distractors Using Context-Sensitive Inference Rules. - Torsten Zesch; Oren Melamud (BEA@ACL, 2014)

Sense and Similarity: A Study of Sense-level Similarity Measures. - Nicolai Erbs; Iryna Gurevych; Torsten Zesch (*SEM@COLING, 2014)

Predicting the Difficulty of Language Proficiency Tests. - Lisa Beinborn; Torsten Zesch; Iryna Gurevych (Trans. Assoc. Comput. Linguistics, 2014)

Candidate evaluation strategies for improved difficulty prediction of language tests. - Lisa Beinborn; Torsten Zesch; Iryna Gurevych (BEA@NAACL-HLT, 2015)

Reducing Annotation Efforts in Supervised Short Answer Scoring. - Torsten Zesch; Michael Heilman; Aoife Cahill (BEA@NAACL-HLT, 2015)

Task-Independent Features for Automated Essay Grading. - Torsten Zesch; Michael Wojatzki; Dirk Scholten-Akoun (BEA@NAACL-HLT, 2015)

Fast or Accurate? - A Comparative Evaluation of PoS Tagging Models. - Tobias Horsmann; Nicolai Erbs; Torsten Zesch (GSCL, 2015)

The Automatic Generation of Nonwords for Lexical Recognition Tests. - Osama Hamed; Torsten Zesch (LTC, 2015)

LTL-UDE $@$ EmpiriST 2015: Tokenization and PoS Tagging of Social Media Text. - Tobias Horsmann; Torsten Zesch (WAC@ACL, 2016)

Predicting the Spelling Difficulty of Words for Language Learners. - Lisa Beinborn; Torsten Zesch; Iryna Gurevych (BEA@NAACL-HLT, 2016)

Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises. - Michael Wojatzki; Oren Melamud; Torsten Zesch (BEA@NAACL-HLT, 2016)

Building a Social Media Adapted PoS Tagger Using FlexTag – A Case Study on Italian Tweets. - Tobias Horsmann; Torsten Zesch (CLiC-it/EVALITA, 2016)

Assigning Fine-grained PoS Tags based on High-precision Coarse-grained Tagging. - Tobias Horsmann; Torsten Zesch (COLING, 2016)

Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks. - Ildikó Pilán; Elena Volodina; Torsten Zesch (COLING, 2016)

Stance-based Argument Mining - Modeling Implicit Argumentation Using Stance. - Michael Wojatzki; Torsten Zesch (KONVENS, 2016)

FlexTag: A Highly Flexible PoS Tagging Framework. - Torsten Zesch; Tobias Horsmann (LREC, 2016)

ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers. - Michael Wojatzki; Torsten Zesch (SemEval@NAACL-HLT, 2016)

Computational semantic analysis of language: SemEval-2014 and beyond. - Preslav Nakov; Torsten Zesch (Lang. Resour. Evaluation, 2016)

The Influence of Spelling Errors on Content Scoring Performance. - Andrea Horbach; Yuning Ding; Torsten Zesch (NLP-TEA@IJCNLP, 2017)

The Role of Diacritics in Designing Lexical Recognition Tests for Arabic. - Osama Hamed; Torsten Zesch (ACLING, 2017)

Fine-grained essay scoring of a complex writing task for native speakers. - Andrea Horbach; Dirk Scholten-Akoun; Yuning Ding; Torsten Zesch (BEA@EMNLP, 2017)

Investigating neural architectures for short answer scoring. - Brian Riordan 001; Andrea Horbach; Aoife Cahill; Torsten Zesch; Chong Min Lee (BEA@EMNLP, 2017)

Do LSTMs really work so well for PoS tagging? - A replication study. - Tobias Horsmann; Torsten Zesch (EMNLP, 2017)

What Does This Imply? Examining the Impact of Implicitness on the Perception of Hate Speech. - Darina Benikova; Michael Wojatzki; Torsten Zesch (GSCL, 2017)

Same same, but different: Compositionality of paraphrase granularity levels. - Darina Benikova; Torsten Zesch (RANLP, 2017)

Neural, Non-neural and Hybrid Stance Detection in Tweets on Catalan Independence. - Michael Wojatzki; Torsten Zesch (IberEval@SEPLN, 2017)

A Survey and Comparative Study of Arabic Diacritization Tools. - Osama Hamed; Torsten Zesch (J. Lang. Technol. Comput. Linguistics, 2017)

Cross-Lingual Content Scoring. - Andrea Horbach; Sebastian Stennmanns; Torsten Zesch (BEA@NAACL-HLT, 2018)

Exploring the effects of diacritization on Arabic frequency counts. - Osama Hamed; Torsten Zesch (ICNLSP, 2018)

Corpus of Aspect-based Sentiment in Political Debates. - Darina Gold; Marie Bexte; Torsten Zesch (KONVENS, 2018)

Do Women Perceive Hate Differently: Examining the Relationship Between Hate Speech, Gender, and Agreement Judgments. - Michael Wojatzki; Tobias Horsmann; Darina Gold; Torsten Zesch (KONVENS, 2018)

Comparing Target Sets for Stance Detection: A Case Study on YouTube Comments on Death Penalty. - Michael Wojatzki; Torsten Zesch (KONVENS, 2018)

DeepTC - An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments. - Tobias Horsmann; Torsten Zesch (LREC, 2018)

Quantifying Qualitative Data for Understanding Controversial Issues. - Michael Wojatzki; Saif M. Mohammad; Torsten Zesch; Svetlana Kiritchenko (LREC, 2018)

ESCRITO - An NLP-Enhanced Educational Scoring Toolkit. - Torsten Zesch; Andrea Horbach (LREC, 2018)

Agree or Disagree: Predicting Judgments on Nuanced Assertions. - Michael Wojatzki; Torsten Zesch; Saif M. Mohammad; Svetlana Kiritchenko (*SEM@NAACL-HLT, 2018)

Annotating and analyzing the interactions between meaning relations. - Darina Gold; Venelin Kovatchev; Torsten Zesch (LAW@ACL, 2019)

German End-to-end Speech Recognition based on DeepSpeech. - Aashish Agarwal; Torsten Zesch (KONVENS, 2019)

From legal to technical concept: Towards an automated classification of German political Twitter postings as criminal offenses. - Frederike Zufall; Tobias Horsmann; Torsten Zesch (NAACL-HLT (1), 2019)

Divide and Extract - Disentangling Clause Splitting and Proposition Extraction. - Darina Gold; Torsten Zesch (RANLP, 2019)

LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness. - Piush Aggarwal; Tobias Horsmann; Michael Wojatzki; Torsten Zesch (SemEval@NAACL-HLT, 2019)

ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter. - Huangpan Zhang; Michael Wojatzki; Tobias Horsmann; Torsten Zesch (SemEval@NAACL-HLT, 2019)

Don't take "nswvtnvakgxpm" for an answer -The surprising vulnerability of automatic content scoring systems to adversarial input. - Yuning Ding; Brian Riordan 001; Andrea Horbach; Aoife Cahill; Torsten Zesch (COLING, 2020)

Exploring the Impact of Handwriting Recognition on the Automated Scoring of Handwritten Student Answers. - Christian Gold; Torsten Zesch (ICFHR, 2020)

Fully vs. Weakly Supervised Caries Localization in Smartphone Images with CNNs. - Duc Duy Pham; Jonas Müller; Piush Aggarwal; Amit Khatri; Mayank Sharma; Torsten Zesch; Josef Pauli (ICPR Workshops (1), 2020)

Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels. - Yuning Ding; Andrea Horbach; Torsten Zesch (AACL/IJCNLP, 2020)

Decomposing and Comparing Meaning Relations: Paraphrasing, Textual Entailment, Contradiction, and Specificity. - Venelin Kovatchev; Darina Gold; Maria Antònia Martí; Maria Salamó; Torsten Zesch (LREC, 2020)

LTL-UDE at Low-Resource Speech-to-Text Shared Task: Investigating Mozilla DeepSpeech in a low-resource setting. - Aashish Agarwal; Torsten Zesch (SwissText/KONVENS, 2020)

A survey of semantic relatedness evaluation datasets and procedures. - Mohamed Ali Hadj Taieb; Torsten Zesch; Mohamed Ben Aouicha (Artif. Intell. Rev., 2020)

Operationalizing the legal concept of 'Incitement to Hatred' as an NLP task. - Frederike Zufall; Huangpan Zhang; Katharina Kloppenborg; Torsten Zesch (CoRR, 2020)

C-Test Collector: A Proficiency Testing Application to Collect Training Data for C-Tests. - Christian Haring; René Lehmann; Andrea Horbach; Torsten Zesch (BEA@EACL, 2021)

Personalizing Handwriting Recognition Systems with Limited User-Specific Samples. - Christian Gold; Dario van den Boom; Torsten Zesch (ICDAR (4), 2021)

Effects of Layer Freezing when Transferring DeepSpeech to New Languages. - Onno Eberhard; Torsten Zesch (CoRR, 2021)

Robustness of end-to-end Automatic Speech Recognition Models - A Case Study using Mozilla DeepSpeech. - Aashish Agarwal; Torsten Zesch (CoRR, 2021)

A Legal Approach to Hate Speech - Operationalizing the EU's Legal Framework against the Expression of Hatred as an NLP Task. - Frederike Zufall; Marius Hamacher; Katharina Kloppenborg; Torsten Zesch (NLLP@EMNLP, 2022)

Analyzing the Real Vulnerability of Hate Speech Detection Systems against Targeted Intentional Noise. - Piush Aggarwal; Torsten Zesch (W-NUT@COLING, 2022)

CNN-Based Ruled Line Removal in Handwritten Documents. - Christian Gold; Torsten Zesch (ICFHR, 2022)

Bye, Bye, Maintenance Work? Using Model Cloning to Approximate the Behavior of Legacy Tools. - Piush Aggarwal; Torsten Zesch (KONVENS, 2022)

LeSpell - A Multi-Lingual Benchmark Corpus of Spelling Errors to Develop Spellchecking Methods for Learner Language. - Marie Bexte; Ronja Laarmann-Quante; Andrea Horbach; Torsten Zesch (LREC, 2022)

Similarity-Based Content Scoring - A more Classroom-Suitable Alternative to Instance-Based Scoring? - Marie Bexte; Andrea Horbach; Torsten Zesch (ACL (Findings), 2023)

Recognizing Learner Handwriting Retaining Orthographic Errors for Enabling Fine-Grained Error Feedback. - Christian Gold; Ronja Laarmann-Quante; Torsten Zesch (BEA@ACL, 2023)

HateProof: Are Hateful Meme Detection Systems really Robust? - Piush Aggarwal; Pranit Chawla; Mithun Das; Punyajoy Saha; Binny Mathew; Torsten Zesch; Animesh Mukherjee 001 (WWW, 2023)

Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge. - Henning Schäfer; Ahmad Idrissi-Yaghir; Jeanette Bewersdorff; Sameh Frihat; Christoph M. Friedrich; Torsten Zesch (J. Biomed. Informatics, 2023)

Workshop on Automatic Evaluation of Learning and Assessment Content. - Luca Benedetto; Shiva Taslimipoor; Andrew Caines; Diana Galván-Sosa; George Dueñas; Anastassia Loukina; Torsten Zesch (AIED Companion (2), 2024)

Scoring with Confidence? - Exploring High-confidence Scoring for Saving Manual Grading Effort. - Marie Bexte; Andrea Horbach; Lena Schützler; Oliver Christ; Torsten Zesch (BEA, 2024)

LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches. - Imran Chamieh; Torsten Zesch; Klaus Giebermann (BEA, 2024)

EVil-Probe - a Composite Benchmark for Extensive Visio-Linguistic Probing. - Marie Bexte; Andrea Horbach; Torsten Zesch (LREC/COLING, 2024)

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. - Ahmad Idrissi-Yaghir; Amin Dada; Henning Schäfer; Kamyar Arzideh; Giulia Baldini 001; Jan Trienes; Max Hasin; Jeanette Bewersdorff; Cynthia S. Schmidt; Marie Bauer; Kaleb E. Smith; Jiang Bian 001; et al. (LREC/COLING, 2024)

Every Verb in Its Right Place? A Roadmap for Operationalizing Developmental Stages in the Acquisition of L2 German. - Josef Ruppenhofer; Matthias Schwendemann; Annette Portmann; Katrin Wisniewski; Torsten Zesch (LREC/COLING, 2024)

Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models? - Piush Aggarwal; Jawar Mehrabanian; Weigang Huang; Özge Alaçam; Torsten Zesch (EACL (Findings), 2024)

Rainbow - A Benchmark for Systematic Testing of How Sensitive Visio-Linguistic Models are to Color Naming. - Marie Bexte; Andrea Horbach; Torsten Zesch (EACL (1), 2024)

Unraveling the Dynamics of Semi-Supervised Hate Speech Detection: The Impact of Unlabeled Data Characteristics and Pseudo-Labeling Strategies. - Florian Ludwig; Klara Dolos; Ana Alves-Pinto; Torsten Zesch (EACL (Findings), 2024)

Flexible LLM Experimental Infrastructure (Flexi) - Enabling Experimentation and Innovation in Higher Education Through Access to Open LLMs. - Torsten Zesch; Michael Hanses; Niels Seidel; Piush Aggarwal; Dirk Veiel; Claudia de Witt (ITHET, 2024)

FernUni LLM Experimental Infrastructure (FLEXI) - Enabling Experimentation and Innovation in Higher Education Through Access to Open Large Language Models. - Torsten Zesch; Michael Hanses; Niels Seidel; Piush Aggarwal; Dirk Veiel; Claudia de Witt (CoRR, 2024)

Strengths and weaknesses of automated scoring of free-text student answers. - Marie Bexte; Andrea Horbach; Torsten Zesch (Inform. Spektrum, 2024)

Conditioning Large Language Models on Legal Systems? Detecting Punishable Hate Speech. - Florian Ludwig; Torsten Zesch; Frederike Zufall (CoRR, 2025)