Steffen Remus
Title
Cited by
Cited by
Year
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
1782015
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
482016
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
202013
Domain-specific corpus expansion with focused webcrawling
S Remus, C Biemann
Proceedings of the Tenth International Conference on Language Resources and …, 2016
132016
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
92019
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
82014
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
72019
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
72017
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
72016
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
62016
GermEval 2019 Task 1: Hierarchical Classification of Blurbs.
S Remus, R Aly, C Biemann
KONVENS, 2019
52019
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
52017
Retrofitting word representations for unsupervised sense aware word similarities
S Remus, C Biemann
Proceedings of the Eleventh International Conference on Language Resources …, 2018
42018
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
42015
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
22019
Automatically identifying lexical chains by means of statistical methods-A knowledge-free approach
S Remus
22012
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
12017
Knowledge discovery in scientific literature
J Nam, C Kirschner, Z Ma, N Erbs, S Neumann, D Oelke, S Remus, ...
KONVENS, 66-76, 2014
12014
Top-Level Domain Crawling for Producing Comprehensive Monolingual Corpora from the Web
D Goldhahn, S Remus, U Quasthoff, C Biemann
Proceedings of the LREC-14 workshop on Challenges in the Management of Large …, 2014
12014
Language models explain word reading times better than empirical predictability
MJ Hofmann, S Remus, C Biemann, R Radach
PsyArXiv, 2020
2020
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Articles 1–20