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 | 277 | 2015 |
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 | 246 | 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 | 114 | 2019 |
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 | 101 | 2016 |
Language models explain word reading times better than empirical predictability MJ Hofmann, S Remus, C Biemann, R Radach, L Kuchinke Frontiers in Artificial Intelligence 4, 730570, 2022 | 33 | 2022 |
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 | 28 | 2013 |
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 | 21 | 2017 |
Domain-specific corpus expansion with focused webcrawling S Remus, C Biemann Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 19 | 2016 |
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 | 16 | 2020 |
GermEval 2019 Task 1: Hierarchical Classification of Blurbs. S Remus, R Aly, C Biemann KONVENS, 2019 | 14 | 2019 |
Measuring faithfulness of abstractive summaries T Fischer, S Remus, C Biemann Proceedings of the 18th Conference on Natural Language Processing (KONVENS …, 2022 | 13 | 2022 |
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 | 12 | 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 | 12 | 2016 |
Germeval 2020 task 1 on the classification and regression of cognitive and motivational style from text: Companion paper D Johannßen, C Biemann, S Remus, T Baumann, D Scheffer Proceedings of the Conference on Natural Language Processing (KONVENS), 1-10, 2020 | 11 | 2020 |
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 | 9 | 2016 |
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 | 8 | 2019 |
WebAnno-MM: EXMARaLDA meets WebAnno S Remus, H Hedeland, A Ferger, K Bührig, C Biemann Selected papers from the CLARIN Annual Conference 2018, Pisa, 8-10 October …, 2018 | 7 | 2018 |
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 | 7 | 2014 |
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 | 6 | 2017 |
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 | 6 | 2015 |