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Torsten Zesch
Number of Papers:- 90
Number of Citations:- 283
First ACL Paper:- 2006
Latest ACL Paper:- 2023
Venues:-
ACL
NAACL
LREC
IWCS
NLP4CALL
ENLG
*SEMEVAL
CoNLL
unimplicit
IJCNLP
KONVENS
AACL
RANLP
COLING
NLP-TEA
EACL
TeachingNLP
SemEval
TACL
WNUT
BEA
WS
WOAH
WAC
EMNLP
Co-Authors:-
Aashish Agarwal
Anais Tack
Andrea Horbach
Annemarie Friedrich
Aoife Cahill
Similar Authors:-
Zhuo Li
Hsiao Ching Lin
Prosenjit Majumdar
Andy Lauriston
Mehdi Yousfi Monod
2023
2022
2021
2020
2019
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2017
2016
2015
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2006
Recognizing Learner Handwriting Retaining Orthographic Errors for Enabling Fine-Grained Error Feedback
BEA
Christian Gold |
Ronja Laarmann-Quante |
Torsten Zesch |
Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)
BEA
Ekaterina Kochmar |
Jill Burstein |
Andrea Horbach |
Ronja Laarmann-Quante |
Nitin Madnani |
Anaïs Tack |
Victoria Yaneva |
Zheng Yuan |
Torsten Zesch |
Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)
BEA
NAACL
Ekaterina Kochmar |
Jill Burstein |
Andrea Horbach |
Ronja Laarmann-Quante |
Nitin Madnani |
Anaïs Tack |
Victoria Yaneva |
Zheng Yuan |
Torsten Zesch |
‘Meet me at the ribary’ – Acceptability of spelling variants in free-text answers to listening comprehension prompts
BEA
NAACL
Ronja Laarmann-Quante |
Leska Schwarz |
Andrea Horbach |
Torsten Zesch |
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation
NAACL
WOAH
Florian Ludwig |
Klara Dolos |
Torsten Zesch |
Eleanor Hobley |
Similarity-Based Content Scoring - How to Make S-BERT Keep Up With BERT
BEA
NAACL
Marie Bexte |
Andrea Horbach |
Torsten Zesch |
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022)
KONVENS
WS
Robin Schaefer |
Xiaoyu Bai |
Manfred Stede |
Torsten Zesch |
Bye, Bye, Maintenance Work? Using Model Cloning to Approximate the Behavior of Legacy Tools
KONVENS
WS
Piush Aggarwal |
Torsten Zesch |
Analyzing the Real Vulnerability of Hate Speech Detection Systems against Targeted Intentional Noise
COLING
WNUT
WS
Piush Aggarwal |
Torsten Zesch |
LeSpell - A Multi-Lingual Benchmark Corpus of Spelling Errors to Develop Spellchecking Methods for Learner Language
LREC
Marie Bexte |
Ronja Laarmann-Quante |
Andrea Horbach |
Torsten Zesch |
Evaluating Automatic Spelling Correction Tools on German Primary School Children’s Misspellings
NLP4CALL
Ronja Laarmann-Quante |
Lisa Prepens |
Torsten Zesch |
Bringing Automatic Scoring into the Classroom - Measuring the Impact of Automated Analytic Feedback on Student Writing Performance
NLP4CALL
Andrea Horbach |
Ronja Laarmann-Quante |
Lucas Liebenow |
Thorben Jansen |
Stefan Keller |
Jennifer Meyer |
Torsten Zesch |
Johanna Fleckenstein |
Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
BEA
EACL
Jill Burstein |
Andrea Horbach |
Ekaterina Kochmar |
Ronja Laarmann-Quante |
Claudia Leacock |
Nitin Madnani |
Ildikó Pilán |
Helen Yannakoudakis |
Torsten Zesch |
C-Test Collector: A Proficiency Testing Application to Collect Training Data for C-Tests
BEA
EACL
Christian Haring |
Rene Lehmann |
Andrea Horbach |
Torsten Zesch |
A Crash Course on Ethics for Natural Language Processing
NAACL
TeachingNLP
Annemarie Friedrich |
Torsten Zesch |
Robustness of end-to-end Automatic Speech Recognition Models – A Case Study using Mozilla DeepSpeech
KONVENS
WS
Aashish Agarwal |
Torsten Zesch |
Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)
KONVENS
WS
Kilian Evang |
Laura Kallmeyer |
Rainer Osswald |
Jakub Waszczuk |
Torsten Zesch |
Effects of Layer Freezing on Transferring a Speech Recognition System to Under-resourced Languages
KONVENS
WS
Onno Eberhard |
Torsten Zesch |
VL-BERT+: Detecting Protected Groups in Hateful Multimodal Memes
ACL
IJCNLP
WOAH
Piush Aggarwal |
Michelle Espranita Liman |
Darina Gold |
Torsten Zesch |
Implicit Phenomena in Short-answer Scoring Data
ACL
IJCNLP
unimplicit
Marie Bexte |
Andrea Horbach |
Torsten Zesch |
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications
ACL
BEA
WS
Jill Burstein |
Ekaterina Kochmar |
Claudia Leacock |
Nitin Madnani |
Ildikó Pilán |
Helen Yannakoudakis |
Torsten Zesch |
Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels
AACL
Yuning Ding |
Andrea Horbach |
Torsten Zesch |
Don’t take “nswvtnvakgxpm” for an answer –The surprising vulnerability of automatic content scoring systems to adversarial input
COLING
Yuning Ding |
Brian Riordan |
Andrea Horbach |
Aoife Cahill |
Torsten Zesch |
Decomposing and Comparing Meaning Relations: Paraphrasing, Textual Entailment, Contradiction, and Specificity
LREC
Venelin Kovatchev |
Darina Gold |
M. Antonia Marti |
Maria Salamo |
Torsten Zesch |
From legal to technical concept: Towards an automated classification of German political Twitter postings as criminal offenses
NAACL
Frederike Zufall |
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
Huangpan Zhang |
Michael Wojatzki |
Tobias Horsmann |
Torsten Zesch |
LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness
*SEMEVAL
Piush Aggarwal |
Tobias Horsmann |
Michael Wojatzki |
Torsten Zesch |
RELATIONS - Workshop on meaning relations between phrases and sentences
IWCS
WS
Venelin Kovatchev |
Darina Gold |
Torsten Zesch |
Annotating and analyzing the interactions between meaning relations
ACL
WS
Darina Gold |
Venelin Kovatchev |
Torsten Zesch |
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
ACL
WS
Helen Yannakoudakis |
Ekaterina Kochmar |
Claudia Leacock |
Nitin Madnani |
Ildikó Pilán |
Torsten Zesch |
Divide and Extract – Disentangling Clause Splitting and Proposition Extraction
RANLP
Darina Gold |
Torsten Zesch |
Quantifying Qualitative Data for Understanding Controversial Issues
LREC
Michael Wojatzki |
Saif Mohammad |
Torsten Zesch |
Svetlana Kiritchenko |
ESCRITO - An NLP-Enhanced Educational Scoring Toolkit
LREC
Torsten Zesch |
Andrea Horbach |
DeepTC – An Extension of DKPro Text Classification for Fostering Reproducibility of Deep Learning Experiments
LREC
Tobias Horsmann |
Torsten Zesch |
Agree or Disagree: Predicting Judgments on Nuanced Assertions
*SEMEVAL
Michael Wojatzki |
Torsten Zesch |
Saif Mohammad |
Svetlana Kiritchenko |
Cross-Lingual Content Scoring
BEA
NAACL
WS
Andrea Horbach |
Sebastian Stennmanns |
Torsten Zesch |
The Role of Diacritics in Increasing the Difficulty of Arabic Lexical Recognition Tests
NLP4CALL
WS
Osama Hamed |
Torsten Zesch |
Do LSTMs really work so well for PoS tagging? – A replication study
EMNLP
Tobias Horsmann |
Torsten Zesch |
Same same, but different: Compositionality of paraphrase granularity levels
RANLP
Darina Benikova |
Torsten Zesch |
Investigating neural architectures for short answer scoring
BEA
WS
Brian Riordan |
Andrea Horbach |
Aoife Cahill |
Torsten Zesch |
Chong Min Lee |
Fine-grained essay scoring of a complex writing task for native speakers
BEA
WS
Andrea Horbach |
Dirk Scholten-Akoun |
Yuning Ding |
Torsten Zesch |
The Influence of Spelling Errors on Content Scoring Performance
NLP-TEA
WS
Andrea Horbach |
Yuning Ding |
Torsten Zesch |
Assigning Fine-grained PoS Tags based on High-precision Coarse-grained Tagging
COLING
Tobias Horsmann |
Torsten Zesch |
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks
COLING
Ildikó Pilán |
Elena Volodina |
Torsten Zesch |
FlexTag: A Highly Flexible PoS Tagging Framework
LREC
Torsten Zesch |
Tobias Horsmann |
ltl.uni-due at SemEval-2016 Task 6: Stance Detection in Social Media Using Stacked Classifiers
*SEMEVAL
Michael Wojatzki |
Torsten Zesch |
Predicting the Spelling Difficulty of Words for Language Learners
BEA
WS
Lisa Beinborn |
Torsten Zesch |
Iryna Gurevych |
Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises
BEA
WS
Michael Wojatzki |
Oren Melamud |
Torsten Zesch |
LTL-UDE @ EmpiriST 2015: Tokenization and PoS Tagging of Social Media Text
WAC
WS
Tobias Horsmann |
Torsten Zesch |
Bridging the gap between computable and expressive event representations in Social Media
WS
Darina Benikova |
Torsten Zesch |
Validating bundled gap filling – Empirical evidence for ambiguity reduction and language proficiency testing capabilities
NLP4CALL
WS
Niklas Meyer |
Michael Wojatzki |
Torsten Zesch |
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
SemEval
Steven Bethard |
Marine Carpuat |
Daniel Cer |
David Jurgens |
Preslav Nakov |
Torsten Zesch |
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
*SEMEVAL
Preslav Nakov |
Torsten Zesch |
Daniel Cer |
David Jurgens |
Candidate evaluation strategies for improved difficulty prediction of language tests
BEA
WS
Lisa Beinborn |
Torsten Zesch |
Iryna Gurevych |
Reducing Annotation Efforts in Supervised Short Answer Scoring
BEA
WS
Torsten Zesch |
Michael Heilman |
Aoife Cahill |
Task-Independent Features for Automated Essay Grading
BEA
WS
Torsten Zesch |
Michael Wojatzki |
Dirk Scholten-Akoun |
Counting What Counts: Decompounding for Keyphrase Extraction
WS
Nicolai Erbs |
Pedro Bispo Santos |
Torsten Zesch |
Iryna Gurevych |
DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments
ACL
Nicolai Erbs |
Pedro Bispo Santos |
Iryna Gurevych |
Torsten Zesch |
DKPro TC: A Java-based Framework for Supervised Learning Experiments on Textual Data
ACL
Johannes Daxenberger |
Oliver Ferschke |
Iryna Gurevych |
Torsten Zesch |
Predicting the Difficulty of Language Proficiency Tests
TACL
Lisa Beinborn |
Torsten Zesch |
Iryna Gurevych |
Sense and Similarity: A Study of Sense-level Similarity Measures
*SEMEVAL
Nicolai Erbs |
Iryna Gurevych |
Torsten Zesch |
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)
*SEMEVAL
Preslav Nakov |
Torsten Zesch |
Automatic Generation of Challenging Distractors Using Context-Sensitive Inference Rules
BEA
WS
Torsten Zesch |
Oren Melamud |
Towards Automatic Scoring of Cloze Items by Selecting Low-Ambiguity Contexts
NLP4CALL
WS
Tobias Horsmann |
Torsten Zesch |
Cognate Production using Character-based Machine Translation
IJCNLP
Lisa Beinborn |
Torsten Zesch |
Iryna Gurevych |
Recognizing Partial Textual Entailment
ACL
Omer Levy |
Torsten Zesch |
Ido Dagan |
Iryna Gurevych |
DKPro WSD: A Generalized UIMA-based Framework for Word Sense Disambiguation
ACL
Tristan Miller |
Nicolai Erbs |
Hans-Peter Zorn |
Torsten Zesch |
Iryna Gurevych |
DKPro Similarity: An Open Source Framework for Text Similarity
ACL
Daniel Bär |
Torsten Zesch |
Iryna Gurevych |
Hierarchy Identification for Automatically Generating Table-of-Contents
RANLP
Nicolai Erbs |
Iryna Gurevych |
Torsten Zesch |
SemEval-2013 Task 5: Evaluating Phrasal Semantics
*SEMEVAL
Ioannis Korkontzelos |
Torsten Zesch |
Fabio Massimo Zanzotto |
Chris Biemann |
UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
*SEMEVAL
Omer Levy |
Torsten Zesch |
Ido Dagan |
Iryna Gurevych |
Text Reuse Detection using a Composition of Text Similarity Measures
COLING
Daniel Bär |
Torsten Zesch |
Iryna Gurevych |
Using Distributional Similarity for Lexical Expansion in Knowledge-based Word Sense Disambiguation
COLING
Tristan Miller |
Chris Biemann |
Torsten Zesch |
Iryna Gurevych |
Measuring Contextual Fitness Using Error Contexts Extracted from the Wikipedia Revision History
EACL
Torsten Zesch |
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures
*SEMEVAL
Daniel Bär |
Chris Biemann |
Iryna Gurevych |
Torsten Zesch |
HOO 2012 Shared Task: UKP Lab System Description
WS
Torsten Zesch |
Jens Haase |
Wikulu: An Extensible Architecture for Integrating Natural Language Processing Techniques with Wikis
ACL
Daniel Bär |
Nicolai Erbs |
Torsten Zesch |
Iryna Gurevych |
Wikipedia Revision Toolkit: Efficiently Accessing Wikipedia’s Edit History
ACL
Oliver Ferschke |
Torsten Zesch |
Iryna Gurevych |
A Reflective View on Text Similarity
RANLP
Daniel Bär |
Torsten Zesch |
Iryna Gurevych |
Helping Our Own 2011: UKP Lab System Description
ENLG
WS
Torsten Zesch |
The More the Better? Assessing the Influence of Wikipedia’s Growth on Semantic Relatedness Measures
LREC
Torsten Zesch |
Iryna Gurevych |
Proceedings of the 2nd Workshop on The People’s Web Meets NLP: Collaboratively Constructed Semantic Resources
WS
Iryna Gurevych |
Torsten Zesch |
Approximate Matching for Evaluating Keyphrase Extraction
RANLP
Torsten Zesch |
Iryna Gurevych |
Proceedings of the 2009 Workshop on The People’s Web Meets NLP: Collaboratively Constructed Semantic Resources (People’s Web)
WS
Iryna Gurevych |
Torsten Zesch |
Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary
LREC
Torsten Zesch |
Christof Müller |
Iryna Gurevych |
Cross-Lingual Distributional Profiles of Concepts for Measuring Semantic Distance
CoNLL
EMNLP
Saif Mohammad |
Iryna Gurevych |
Graeme Hirst |
Torsten Zesch |
Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets
NAACL
Torsten Zesch |
Iryna Gurevych |
Max Mühlhäuser |
What to be? - Electronic Career Guidance Based on Semantic Relatedness
ACL
Iryna Gurevych |
Christof Müller |
Torsten Zesch |
Analysis of the Wikipedia Category Graph for NLP Applications
WS
Torsten Zesch |
Iryna Gurevych |
Automatically Creating Datasets for Measures of Semantic Relatedness
WS
Torsten Zesch |
Iryna Gurevych |
Linguistic
Task
Approach
Language
Dataset Type
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