| Do supervised distributional methods really learn lexical inference relations? O Levy, S Remus, C Biemann, I Dagan Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 195 | 2015 |
| TAXI at SemEval-2016 Task 13: a taxonomy induction method based on lexico-syntactic patterns, substrings and focused crawling A Panchenko, S Faralli, E Ruppert, S Remus, H Naets, C Fairon, ... Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 55 | 2016 |
| 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 | 52 | 2019 |
| Hierarchical multi-label classification of text with capsule networks R Aly, S Remus, C Biemann Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 22 | 2019 |
| Three knowledge-free methods for automatic lexical chain extraction S Remus, C Biemann Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 20 | 2013 |
| Domain-specific corpus expansion with focused webcrawling S Remus, C Biemann Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 13 | 2016 |
| Benchmarking n-grams, topic models and recurrent neural networks by cloze completions, EEGs and eye movements MJ Hofmann, C Biemann, S Remus Cognitive approach to natural language processing, 197-215, 2017 | 10 | 2017 |
| EmpiriST: AIPHES-robust tokenization and POS-tagging for different genres S Remus, G Hintz, C Biemann, CM Meyer, D Benikova, J Eckle-Kohler, ... Proceedings of the 10th Web as Corpus Workshop, 106-114, 2016 | 8 | 2016 |
| Unsupervised relation extraction of in-domain data from focused crawls S Remus Proceedings of the Student Research Workshop at the 14th Conference of the …, 2014 | 8 | 2014 |
| Entity-Centric Information Access with Human in the Loop for the Biomedical Domain. SM Yimam, S Remus, A Panchenko, A Holzinger, C Biemann BiomedicalNLP@ RANLP, 42-48, 2017 | 7 | 2017 |
| Ambient search: A document retrieval system for speech streams B Milde, J Wacker, S Radomski, M Mühlhäuser, C Biemann Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 7 | 2016 |
| GermEval 2019 Task 1: Hierarchical Classification of Blurbs. S Remus, R Aly, C Biemann KONVENS, 2019 | 6 | 2019 |
| Retrofitting word representations for unsupervised sense aware word similarities S Remus, C Biemann Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 4 | 2018 |
| Predicting word’predictability’in cloze completion, electroencephalographic and eye movement data C Biemann, S Remus, MJ Hofmann Proceedings of natural language processing and cognitive science, 83-93, 2015 | 4 | 2015 |
| Word Sense Disambiguation for 158 Languages using Word Embeddings Only V Logacheva, D Teslenko, A Shelmanov, S Remus, D Ustalov, A Kutuzov, ... arXiv preprint arXiv:2003.06651, 2020 | 3 | 2020 |
| Lt expertfinder: An evaluation framework for expert finding methods T Fischer, S Remus, C Biemann Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 3 | 2019 |
| Automatically identifying lexical chains by means of statistical methods-A knowledge-free approach S Remus | 2 | 2012 |
| Language models explain word reading times better than empirical predictability MJ Hofmann, S Remus, C Biemann, R Radach PsyArXiv, 2020 | 1 | 2020 |
| Storyfinder: Personalized knowledge base construction and management by browsing the web S Remus, M Kaufmann, K Ballweg, T von Landesberger, C Biemann Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 1 | 2017 |
| Knowledge discovery in scientific literature J Nam, C Kirschner, Z Ma, N Erbs, S Neumann, D Oelke, S Remus, ... Universitätsverlag Hildesheim, 2014 | 1 | 2014 |
Chris BiemannProfessor for Language Technology, University of HamburgVerified email at informatik.uni-hamburg.de
