Steffen Remus
Cited by
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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
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
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
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
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
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
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
Domain-specific corpus expansion with focused webcrawling
S Remus, C Biemann
Proceedings of the Tenth International Conference on Language Resources and …, 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
GermEval 2019 Task 1: Hierarchical Classification of Blurbs.
S Remus, R Aly, C Biemann
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
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
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
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
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
Measuring faithfulness of abstractive summaries
T Fischer, S Remus, C Biemann
Proceedings of the 18th Conference on Natural Language Processing (KONVENS …, 2022
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 …, 2019
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
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
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
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