NLPExplorer

Torsten Zesch

Number of Papers:- 92

Number of Citations:- 283

First ACL Paper:- 2006

Latest ACL Paper:- 2024

Venues:-

ENLG

*SEMEVAL

BEA

RANLP

NAACL

WNUT

COLING

EMNLP

IJCNLP

ACL

NLP-TEA

WAC

TACL

IWCS

CoNLL

LREC

KONVENS

NLP4CALL

TeachingNLP

WOAH

SemEval

EACL

unimplicit

AACL

Co-Authors:-

Similar Authors:-

LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches BEA

Imran Chamieh | Torsten Zesch | Klaus Giebermann |

Scoring with Confidence? – Exploring High-confidence Scoring for Saving Manual Grading Effort BEA

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

Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022) BEA NAACL

‘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

Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications BEA EACL

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

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

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

Decomposing and Comparing Meaning Relations: Paraphrasing, Textual Entailment, Contradiction, and Specificity LREC

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 |

Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks COLING

Ildikó Pilán | Elena Volodina | 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 2009 Workshop on The People’s Web Meets NLP: Collaboratively Constructed Semantic Resources (People’s Web) WS

Iryna Gurevych | Torsten Zesch |