🧑‍🔬 Who cites Torsten Zesch

163 citations of their works from 161 papers of our library (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · ← Torsten Zesch

1. SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on InterpretabilityInternational Workshop on Semantic Evaluation (SemEval)Eneko Agirre, Carmen Banea, Claire Cardie, et al.2015 · 765 citations
2. *SEM 2013 shared task: Semantic Textual SimilarityJoint Conference on Lexical and Computational Semantics (*SEM)Eneko Agirre, Daniel Cer, Mona Diab, et al.2013 · 665 citations
3. Multi-Perspective Sentence Similarity Modeling with Convolutional Neural NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Hua He, Kevin Gimpel, Jimmy Lin2015 · 454 citations
4. SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment ChallengeJoint Conference on Lexical and Computational Semantics (*SEM)Myroslava Dzikovska, Rodney Nielsen, Chris Brew, et al.2013 · 235 citations
5. On the application of Large Language Models for language teaching and assessment technologyarXiv:2307.08393Andrew Caines, Luca Benedetto, Shiva Taslimipoor, et al.2023 · 51 citations
6. PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment RecognitionFindings of the Association for Computational LinguisticsSihao Chen, Senaka Buthpitiya, Alex Fabrikant, et al.2023 · 31 citations
7. Arabic Diacritics in the Wild: Exploiting Opportunities for Improved DiacritizationAnnual Meeting of the Association for Computational Linguistics (ACL)Salman Elgamal, Ossama Obeid, Mhd Kabbani, et al.2024 · 10 citations
8. Report on the BEA 2026 Shared Task on Rubric-based Short Answer Scoring for GermanWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Sebastian Gombert, Zhifan Sun, Fabian Zehner, et al.2026 · 5 citations
9. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM BenchmarksGo Inoue, Bashar Alhafni, Nizar Habash, et al.2026 · 4 citations
10. A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in EnglishACM Transactions on Knowledge Discovery from DataJulian Baumler, Louis Blocher, Lars-Joel Frey, et al.2025 · 4 citations
11. Detecting Hate Speech in Amharic Using Multimodal Analysis of Social Media MemesWorkshop on Trolling, Aggression and CyberbullyingMelese Ayichlie Jigar, Abinew Ali Ayele, Seid Muhie Yimam, et al.2024 · 4 citations
12. Conditional Natural Language InferenceFindings of the Association for Computational LinguisticsYoungwoo Kim, Razieh Rahimi, James Allan2023 · 4 citations
13. Automatic Diacritization as Prerequisite Towards the Automatic Generation of Arabic Lexical Recognition TestsInternational Conference on Natural Language and Speech ProcessingOsama Hamed2019 · 1 citation
14. Exploiting Open IE for Deriving Multiple Premises Entailment CorpusRecent Advances in Natural Language Processing (RANLP)Martin Víta, Jakub Klímek2019 · 1 citation
15. Geolocating News about Extreme Climate Events: A Comparative Analysis of Off-the-Shelf Tools for Toponym Identification in GermanarXiv:2605.03414Brielen Madureira, Mariana Madruga de Brito, Andreas Niekler2026
16. Nürnberg NLP @ GermEval Shared Task 2026: Harmful Content Detection in German Social Media through Error-Independent LLM VotersarXiv:2608.22246Philipp Steigerwald, Eric Rudolph, Jens Albrecht2026
17. Word2Vec vs LSA pour la détection des erreurs orthographiques produisant un dérèglement sémantique en arabe (Word2Vec vs LSA for detecting semantic errors in Arabic language)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Ben Othmane Zribi, Chiraz2018

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