| What do we need to build explainable AI systems for the medical domain? A Holzinger, C Biemann, CS Pattichis, DB Kell arXiv preprint arXiv:1712.09923, 2017 | 1455 | 2017 |
| HateXplain: A benchmark dataset for explainable hate speech detection M Binny, P Saha, SM Yimam, C Biemann, P Goyal, A Mukherjee Proceedings of the AAAI conference on artificial intelligence 35 (17), 14867 …, 2021 | 899 | 2021 |
| Chinese whispers-an efficient graph clustering algorithm and its application to natural language processing problems C Biemann Proceedings of TextGraphs: the first workshop on graph based methods for …, 2006 | 580 | 2006 |
| WebAnno: A Flexible, Web-based and Visually Supported System for Distributed Annotations SM Yimam, I Gurevych, RE de Castilho, C Biemann ACL Demo Track, 2013 | 338 | 2013 |
| Ontology learning from text: A survey of methods C Biemann Journal for Language Technology and Computational Linguistics 20 (2), 75-93, 2005 | 299 | 2005 |
| Corpus Portal for Search in Monolingual Corpora. U Quasthoff, M Richter, C Biemann LREC, 1799-1802, 2006 | 294 | 2006 |
| Do Supervised Distributional Methods Really Learn Lexical Inference Relations? O Levy, S Remus, C Biemann, I Dagan NAACL, 2015 | 293 | 2015 |
| UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures D Bär, C Biemann, I Gurevych, T Zesch | 293 | 2012 |
| Unsupervised part-of-speech tagging employing efficient graph clustering C Biemann Proceedings of the COLING/ACL 2006 student research workshop, 7-12, 2006 | 291 | 2006 |
| Does BERT make any sense? Interpretable word sense disambiguation with contextualized embeddings G Wiedemann, S Remus, A Chawla, C Biemann arXiv preprint arXiv:1909.10430, 2019 | 281 | 2019 |
| A web-based tool for the integrated annotation of semantic and syntactic structures RE De Castilho, E Mújdricza-Maydt, SM Yimam, S Hartmann, I Gurevych, ... Proceedings of the workshop on language technology resources and tools for …, 2016 | 270 | 2016 |
| Neural entity linking: A survey of models based on deep learning Ö Sevgili, A Shelmanov, M Arkhipov, A Panchenko, C Biemann Semantic Web 13 (3), 527-570, 2022 | 261 | 2022 |
| TopicTiling: A Text Segmentation Algorithm based on LDA M Riedl, C Biemann ACL 2012 Student Research Workshop, 37-42, 2012 | 248 | 2012 |
| A Report on the Complex Word Identification Shared Task 2018 SM Yimam, C Biemann, S Malmasi, GH Paetzold, L Specia, S Štajner, ... BEA workshop at NAACL, 2018 | 229 | 2018 |
| Making sense of word embeddings M Pelevina, N Arefyev, C Biemann, A Panchenko Rep4NLP Workshop at ACL, 2016 | 198 | 2016 |
| The Leipzig corpora collection-monolingual corpora of standard size C Biemann, G Heyer, U Quasthoff, M Richter Proceedings of Corpus Linguistic 2007, 2007 | 187 | 2007 |
| Text: Now in 2D! A Framework for Lexical Expansion with Contextual Similarity C Biemann, M Riedl Journal of Language Modelling 1 (1), 55-95, 2013 | 181 | 2013 |
| Mitigating hallucinations in large vision-language models with instruction contrastive decoding X Wang, J Pan, L Ding, C Biemann ACL, 2024 | 155 | 2024 |
| Overview of Touché 2020: argument retrieval A Bondarenko, M Fröbe, M Beloucif, L Gienapp, Y Ajjour, A Panchenko, ... International Conference of the Cross-Language Evaluation Forum for European …, 2020 | 152 | 2020 |
| NoSta-D Named Entity Annotation for German: Guidelines and Dataset D Benikova, C Biemann, M Reznicek Proceedings of LREC, 2014 | 149 | 2014 |
Seid Muhie Yimam (ሰይድ ሙሄ ይማም)Technical lead at HCDS and research associate at LT Group, University of HamburgVerified email at uni-hamburg.de
