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- affiliation: University of Duisburg-Essen, Germany
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2020 – today
- 2024
[c95]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: 473-477- [c94]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 - [c93]Imran Chamieh, Torsten Zesch, Klaus Giebermann:
LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches. BEA 2024: 309-315 - [c92]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: 3654-3665 - [c91]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: 6655-6670 - [c90]Marie Bexte, Andrea Horbach, Torsten Zesch:
EVil-Probe - a Composite Benchmark for Extensive Visio-Linguistic Probing. LREC/COLING 2024: 6682-6700 - [c89]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: 104-117 - [c88]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 - [c87]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: 1974-1986 - [e14]Luca Benedetto, Andrew Caines, George Dueñas, Diana Galván-Sosa, Anastassia Loukina, Shiva Taslimipoor, Torsten Zesch:
Proceedings of the First Workshop on Automated Evaluation of Learning and Assessment Content co-located with the 25th International Conference on Artificial Intelligence in Education (AIED 2024), Recife, Brazil, July 08, 2024. CEUR Workshop Proceedings 3772, CEUR-WS.org 2024 [contents] - [i8]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 abs/2402.04967 (2024) - [i7]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 abs/2404.05694 (2024) - [i6]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 abs/2407.13013 (2024) - 2023
- [j9]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: 104400 (2023) - [c86]Marie Bexte, Andrea Horbach, Torsten Zesch:
Similarity-Based Content Scoring - A more Classroom-Suitable Alternative to Instance-Based Scoring? ACL (Findings) 2023: 1892-1903 - [c85]Christian Gold, Ronja Laarmann-Quante, Torsten Zesch:
Recognizing Learner Handwriting Retaining Orthographic Errors for Enabling Fine-Grained Error Feedback. BEA@ACL 2023: 352-360 - [c84]Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee:
HateProof: Are Hateful Meme Detection Systems really Robust? WWW 2023: 3734-3743 - [e13]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] - [i5]Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee:
HateProof: Are Hateful Meme Detection Systems really Robust? CoRR abs/2302.05703 (2023) - 2022
- [c83]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: 53-64 - [c82]Piush Aggarwal, Torsten Zesch:
Analyzing the Real Vulnerability of Hate Speech Detection Systems against Targeted Intentional Noise. W-NUT@COLING 2022: 230-242 - [c81]Christian Gold, Torsten Zesch:
CNN-Based Ruled Line Removal in Handwritten Documents. ICFHR 2022: 530-544 - [c80]Piush Aggarwal, Torsten Zesch:
Bye, Bye, Maintenance Work? Using Model Cloning to Approximate the Behavior of Legacy Tools. KONVENS 2022: 175-180 - [c79]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 - [e12]Robin Schaefer, Xiaoyu Bai, Manfred Stede, Torsten Zesch:
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), 12-15 September 2022, Potsdam, Germany. ACL 2022 [contents] - 2021
- [c78]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 - [c77]Christian Gold, Dario van den Boom, Torsten Zesch:
Personalizing Handwriting Recognition Systems with Limited User-Specific Samples. ICDAR (4) 2021: 413-428 - [e11]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] - [i4]Onno Eberhard, Torsten Zesch:
Effects of Layer Freezing when Transferring DeepSpeech to New Languages. CoRR abs/2102.04097 (2021) - [i3]Aashish Agarwal, Torsten Zesch:
Robustness of end-to-end Automatic Speech Recognition Models - A Case Study using Mozilla DeepSpeech. CoRR abs/2105.09742 (2021) - 2020
- [j8]Mohamed Ali Hadj Taieb, Torsten Zesch, Mohamed Ben Aouicha:
A survey of semantic relatedness evaluation datasets and procedures. Artif. Intell. Rev. 53(6): 4407-4448 (2020) - [c76]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 - [c75]Christian Gold, Torsten Zesch:
Exploring the Impact of Handwriting Recognition on the Automated Scoring of Handwritten Student Answers. ICFHR 2020: 252-257 - [c74]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: 321-336 - [c73]Yuning Ding, Andrea Horbach, Torsten Zesch:
Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels. AACL/IJCNLP 2020: 347-357 - [c72]Venelin Kovatchev, Darina Gold, Maria Antònia Martí, Maria Salamó, Torsten Zesch:
Decomposing and Comparing Meaning Relations: Paraphrasing, Textual Entailment, Contradiction, and Specificity. LREC 2020: 5782-5791 - [c71]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 - [e10]Jill Burstein, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Helen Yannakoudakis, Torsten Zesch:
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2020, Online, July 10, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-18-7 [contents] - [i2]Frederike Zufall, Huangpan Zhang, Katharina Kloppenborg, Torsten Zesch:
Operationalizing the legal concept of 'Incitement to Hatred' as an NLP task. CoRR abs/2004.03422 (2020)
2010 – 2019
- 2019
- [c70]Darina Gold, Venelin Kovatchev, Torsten Zesch:
Annotating and analyzing the interactions between meaning relations. LAW@ACL 2019: 26-36 - [c69]Aashish Agarwal, Torsten Zesch:
German End-to-end Speech Recognition based on DeepSpeech. KONVENS 2019 - [c68]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: 1337-1347 - [c67]Darina Gold, Torsten Zesch:
Divide and Extract - Disentangling Clause Splitting and Proposition Extraction. RANLP 2019: 399-408 - [c66]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: 441-446 - [c65]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: 678-682 - [e9]Helen Yannakoudakis, Ekaterina Kochmar, Claudia Leacock, Nitin Madnani, Ildikó Pilán, Torsten Zesch:
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, BEA@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-34-5 [contents] - 2018
- [c64]Andrea Horbach, Sebastian Stennmanns, Torsten Zesch:
Cross-Lingual Content Scoring. BEA@NAACL-HLT 2018: 410-419 - [c63]Osama Hamed, Torsten Zesch:
Exploring the effects of diacritization on Arabic frequency counts. ICNLSP 2018: 1-6 - [c62]Michael Wojatzki, Torsten Zesch:
Comparing Target Sets for Stance Detection: A Case Study on YouTube Comments on Death Penalty. KONVENS 2018: 69-79 - [c61]Darina Gold, Marie Bexte, Torsten Zesch:
Corpus of Aspect-based Sentiment in Political Debates. KONVENS 2018: 89-99 - [c60]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: 110-120 - [c59]Tobias Horsmann, Torsten Zesch:
DeepTC - An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments. LREC 2018 - [c58]Michael Wojatzki, Saif M. Mohammad, Torsten Zesch, Svetlana Kiritchenko:
Quantifying Qualitative Data for Understanding Controversial Issues. LREC 2018 - [c57]Torsten Zesch, Andrea Horbach:
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit. LREC 2018 - [c56]Michael Wojatzki, Torsten Zesch, Saif M. Mohammad, Svetlana Kiritchenko:
Agree or Disagree: Predicting Judgments on Nuanced Assertions. *SEM@NAACL-HLT 2018: 214-224 - 2017
- [j7]Osama Hamed, Torsten Zesch:
A Survey and Comparative Study of Arabic Diacritization Tools. J. Lang. Technol. Comput. Linguistics 32(1): 27-47 (2017) - [c55]Andrea Horbach, Yuning Ding, Torsten Zesch:
The Influence of Spelling Errors on Content Scoring Performance. NLP-TEA@IJCNLP 2017: 45-53 - [c54]Osama Hamed, Torsten Zesch:
The Role of Diacritics in Designing Lexical Recognition Tests for Arabic. ACLING 2017: 119-128 - [c53]Brian Riordan, Andrea Horbach, Aoife Cahill, Torsten Zesch, Chong Min Lee:
Investigating neural architectures for short answer scoring. BEA@EMNLP 2017: 159-168 - [c52]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 - [c51]Tobias Horsmann, Torsten Zesch:
Do LSTMs really work so well for PoS tagging? - A replication study. EMNLP 2017: 727-736 - [c50]Darina Benikova, Michael Wojatzki, Torsten Zesch:
What Does This Imply? Examining the Impact of Implicitness on the Perception of Hate Speech. GSCL 2017: 171-179 - [c49]Darina Benikova, Torsten Zesch:
Same same, but different: Compositionality of paraphrase granularity levels. RANLP 2017: 90-96 - [c48]Michael Wojatzki, Torsten Zesch:
Neural, Non-neural and Hybrid Stance Detection in Tweets on Catalan Independence. IberEval@SEPLN 2017: 178-184 - 2016
- [j6]Preslav Nakov, Torsten Zesch:
Computational semantic analysis of language: SemEval-2014 and beyond. Lang. Resour. Evaluation 50(1): 1-4 (2016) - [c47]Tobias Horsmann, Torsten Zesch:
LTL-UDE $@$ EmpiriST 2015: Tokenization and PoS Tagging of Social Media Text. WAC@ACL 2016: 120-126 - [c46]Lisa Beinborn, Torsten Zesch, Iryna Gurevych:
Predicting the Spelling Difficulty of Words for Language Learners. BEA@NAACL-HLT 2016: 73-83 - [c45]Michael Wojatzki, Oren Melamud, Torsten Zesch:
Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises. BEA@NAACL-HLT 2016: 172-181 - [c44]Tobias Horsmann, Torsten Zesch:
Building a Social Media Adapted PoS Tagger Using FlexTag -- A Case Study on Italian Tweets. CLiC-it/EVALITA 2016 - [c43]Tobias Horsmann, Torsten Zesch:
Assigning Fine-grained PoS Tags based on High-precision Coarse-grained Tagging. COLING 2016: 328-336 - [c42]Ildikó Pilán, Elena Volodina, Torsten Zesch:
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks. COLING 2016: 2101-2111 - [c41]Michael Wojatzki, Torsten Zesch:
Stance-based Argument Mining - Modeling Implicit Argumentation Using Stance. KONVENS 2016 - [c40]Torsten Zesch, Tobias Horsmann:
FlexTag: A Highly Flexible PoS Tagging Framework. LREC 2016 - [c39]Michael Wojatzki, Torsten Zesch:
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers. SemEval@NAACL-HLT 2016: 428-433 - [e8]Steven Bethard, Daniel M. Cer, Marine Carpuat, David Jurgens, Preslav Nakov, Torsten Zesch:
Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2016, San Diego, CA, USA, June 16-17, 2016. The Association for Computer Linguistics 2016, ISBN 978-1-941643-95-2 [contents] - 2015
- [c38]Lisa Beinborn, Torsten Zesch, Iryna Gurevych:
Candidate evaluation strategies for improved difficulty prediction of language tests. BEA@NAACL-HLT 2015: 1-11 - [c37]Torsten Zesch, Michael Heilman, Aoife Cahill:
Reducing Annotation Efforts in Supervised Short Answer Scoring. BEA@NAACL-HLT 2015: 124-132 - [c36]Torsten Zesch, Michael Wojatzki, Dirk Scholten-Akoun:
Task-Independent Features for Automated Essay Grading. BEA@NAACL-HLT 2015: 224-232 - [c35]Tobias Horsmann, Nicolai Erbs, Torsten Zesch:
Fast or Accurate? - A Comparative Evaluation of PoS Tagging Models. GSCL 2015: 22-30 - [c34]Osama Hamed, Torsten Zesch:
The Automatic Generation of Nonwords for Lexical Recognition Tests. LTC 2015: 321-331 - [e7]Bernhard Fisseni, Bernhard Schröder, Torsten Zesch:
Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology, GSCL 2015, University of Duisburg-Essen, Germany, 30th September - 2nd October 2015. GSCL e.V. 2015 [contents] - [e6]Daniel M. Cer, David Jurgens, Preslav Nakov, Torsten Zesch:
Proceedings of the 9th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2015, Denver, Colorado, USA, June 4-5, 2015. The Association for Computer Linguistics 2015, ISBN 978-1-941643-40-2 [contents] - 2014
- [j5]Lisa Beinborn, Torsten Zesch, Iryna Gurevych:
Predicting the Difficulty of Language Proficiency Tests. Trans. Assoc. Comput. Linguistics 2: 517-529 (2014) - [c33]Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, Torsten Zesch:
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments. ACL (System Demonstrations) 2014: 31-36 - [c32]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: 61-66 - [c31]Torsten Zesch, Oren Melamud:
Automatic Generation of Challenging Distractors Using Context-Sensitive Inference Rules. BEA@ACL 2014: 143-148 - [c30]Nicolai Erbs, Iryna Gurevych, Torsten Zesch:
Sense and Similarity: A Study of Sense-level Similarity Measures. *SEM@COLING 2014: 30-39 - [e5]Preslav Nakov, Torsten Zesch:
Proceedings of the 8th International Workshop on Semantic Evaluation, SemEval@COLING 2014, Dublin, Ireland, August 23-24, 2014. The Association for Computer Linguistics 2014, ISBN 978-1-941643-24-2 [contents] - 2013
- [j4]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): 23-59 (2013) - [j3]Iryna Gurevych, Torsten Zesch:
Collective intelligence and language resources: introduction to the special issue on collaboratively constructed language resources. Lang. Resour. Evaluation 47(1): 1-7 (2013) - [c29]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: 37-42 - [c28]Daniel Bär, Torsten Zesch, Iryna Gurevych:
DKPro Similarity: An Open Source Framework for Text Similarity. ACL (Conference System Demonstrations) 2013: 121-126 - [c27]Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych:
Recognizing Partial Textual Entailment. ACL (2) 2013: 451-455 - [c26]Lisa Beinborn, Torsten Zesch, Iryna Gurevych:
Cognate Production using Character-based Machine Translation. IJCNLP 2013: 883-891 - [c25]Nicolai Erbs, Iryna Gurevych, Torsten Zesch:
Hierarchy Identification for Automatically Generating Table-of-Contents. RANLP 2013: 252-260 - [c24]Ioannis Korkontzelos, Torsten Zesch, Fabio Massimo Zanzotto, Chris Biemann:
SemEval-2013 Task 5: Evaluating Phrasal Semantics. SemEval@NAACL-HLT 2013: 39-47 - [c23]Omer Levy, Torsten Zesch, Ido Dagan, Iryna Gurevych:
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis. SemEval@NAACL-HLT 2013: 285-289 - [e4]Iryna Gurevych, Chris Biemann, Torsten Zesch:
Language Processing and Knowledge in the Web - 25th International Conference, GSCL 2013, Darmstadt, Germany, September 25-27, 2013. Proceedings. Lecture Notes in Computer Science 8105, Springer 2013, ISBN 978-3-642-40721-5 [contents] - 2012
- [j2]Torsten Zesch:
Detecting Malapropisms Using Measures of Contextual Fitness. Trait. Autom. des Langues 53(3): 11-31 (2012) - [c22]Torsten Zesch, Jens Haase:
HOO 2012 Shared Task: UKP Lab System Description. BEA@NAACL-HLT 2012: 302-306 - [c21]Daniel Bär, Torsten Zesch, Iryna Gurevych:
Text Reuse Detection using a Composition of Text Similarity Measures. COLING 2012: 167-184 - [c20]Tristan Miller, Chris Biemann, Torsten Zesch, Iryna Gurevych:
Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation. COLING 2012: 1781-1796 - [c19]Torsten Zesch:
Measuring Contextual Fitness Using Error Contexts Extracted from the Wikipedia Revision History. EACL 2012: 529-538 - [c18]Daniel Bär, Chris Biemann, Iryna Gurevych, Torsten Zesch:
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures. SemEval@NAACL-HLT 2012: 435-440 - [i1]Nicolai Erbs, Iryna Gurevych, Torsten Zesch, Eneko Agirre, Aitor Soroa, Ander Barrena, Ugaitz Etxebarria:
UKP-UBC Entity Linking at TAC-KBP. TAC 2012 - 2011
- [c17]Daniel Bär, Nicolai Erbs, Torsten Zesch, Iryna Gurevych:
Wikulu: An Extensible Architecture for Integrating Natural Language Processing Techniques with Wikis. ACL (System Demonstrations) 2011: 74-79 - [c16]Oliver Ferschke, Torsten Zesch, Iryna Gurevych:
Wikipedia Revision Toolkit: Efficiently Accessing Wikipedia's Edit History. ACL (System Demonstrations) 2011: 97-102 - [c15]György Szarvas, Torsten Zesch, Iryna Gurevych:
Combining Heterogeneous Knowledge Resources for Improved Distributional Semantic Models. CICLing (1) 2011: 289-303 - [c14]Torsten Zesch:
Helping Our Own 2011: UKP Lab System Description. ENLG 2011: 260-262 - [c13]Nicolai Erbs, Daniel Bär, Iryna Gurevych, Torsten Zesch:
First Aid for Information Chaos in Wikis - Collaborative Information Management Enhanced Through Language Technology. ISI 2011: 501-502 - [c12]Daniel Bär, Torsten Zesch, Iryna Gurevych:
A Reflective View on Text Similarity. RANLP 2011: 515-520 - [c11]Nicolai Erbs, Torsten Zesch, Iryna Gurevych:
Link Discovery: A Comprehensive Analysis. ICSC 2011: 83-86 - 2010
- [b1]Torsten Zesch:
Study of semantic relatedness of words using collaboratively constructed semantic resources. Darmstadt University of Technology, 2010, pp. 1-130 - [j1]Torsten Zesch, Iryna Gurevych:
Wisdom of crowds versus wisdom of linguists - measuring the semantic relatedness of words. Nat. Lang. Eng. 16(1): 25-59 (2010) - [c10]Torsten Zesch, Iryna Gurevych:
The More the Better? Assessing the Influence of Wikipedia's Growth on Semantic Relatedness Measures. LREC 2010 - [e3]Iryna Gurevych, Torsten Zesch:
Proceedings of the 2nd Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources@COLING 2010, Beijing, China, August 28, 2010. Coling 2010 Organizing Committee 2010 [contents] - [e2]Venelin Kovatchev, Darina Gold, Torsten Zesch:
Proceedings of the Workshop on Meaning Relations between Phrases and Sentences, RELATIONS@IWCS 2019, Gothenburg, Sweden, May 23, 2019. Association for Computational Linguistics 2010, ISBN 978-1-950737-22-2 [contents]
2000 – 2009
- 2009
- [c9]Torsten Zesch, Iryna Gurevych:
Approximate Matching for Evaluating Keyphrase Extraction. RANLP 2009: 484-489 - [c8]Johannes Hoffart, Torsten Zesch, Iryna Gurevych:
An architecture to support intelligent user interfaces for Wikis by means of Natural Language Processing. Int. Sym. Wikis 2009 - [e1]Iryna Gurevych, Torsten Zesch:
Proceedings of the 1st 2009 Workshop on The People's Web Meets NLP: Collaboratively Constructed Semantic Resources@IJCNLP 2009, Suntec, Singapore, August 7, 2009. Association for Computational Linguistics 2009 [contents] - 2008
- [c7]Torsten Zesch, Christof Müller, Iryna Gurevych:
Using Wiktionary for Computing Semantic Relatedness. AAAI 2008: 861-866 - [c6]Torsten Zesch, Christof Müller, Iryna Gurevych:
Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary. LREC 2008 - [c5]Melanie Hartmann, Torsten Zesch, Max Mühlhäuser, Iryna Gurevych:
Using Similarity Measures for Context-Aware User Interfaces. ICSC 2008: 190-197 - [c4]Konstantina Garoufi, Torsten Zesch, Iryna Gurevych:
Graph-Theoretic Analysis of Collaborative Knowledge Bases in Natural Language Processing. ISWC (Posters & Demos) 2008 - 2007
- [c3]Iryna Gurevych, Christof Müller, Torsten Zesch:
What to be? - Electronic Career Guidance Based on Semantic Relatedness. ACL 2007 - [c2]Saif M. Mohammad, Iryna Gurevych, Graeme Hirst, Torsten Zesch:
Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance. EMNLP-CoNLL 2007: 571-580 - [c1]Torsten Zesch, Iryna Gurevych, Max Mühlhäuser:
Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets. HLT-NAACL (Short Papers) 2007: 205-208
Coauthor Index
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load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2025-01-21 00:18 CET by the dblp team
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