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Chris Biemann
Chris Biemann
Professor for Language Technology, University of Hamburg
Bestätigte E-Mail-Adresse bei informatik.uni-hamburg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
10142017
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
B Mathew, P Saha, SM Yimam, C Biemann, P Goyal, A Mukherjee
AAAI, 2021
5792021
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
5442006
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
3132013
Ontology learning from text: A survey of methods
C Biemann
Journal for Language Technology and Computational Linguistics 20 (2), 75-93, 2005
2892005
Unsupervised part-of-speech tagging employing efficient graph clustering
C Biemann
Proceedings of the COLING/ACL 2006 student research workshop, 7-12, 2006
2872006
Corpus Portal for Search in Monolingual Corpora.
U Quasthoff, M Richter, C Biemann
LREC, 1799-1802, 2006
2862006
UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures
D Bär, C Biemann, I Gurevych, T Zesch
2812012
Do Supervised Distributional Methods Really Learn Lexical Inference Relations?
O Levy, S Remus, C Biemann, I Dagan
NAACL, 2015
2762015
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
2542016
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
2452019
TopicTiling: A Text Segmentation Algorithm based on LDA
M Riedl, C Biemann
ACL 2012 Student Research Workshop, 37-42, 2012
2232012
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
2052018
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
1842022
The Leipzig corpora collection-monolingual corpora of standard size
C Biemann, G Heyer, U Quasthoff, M Richter
Proceedings of Corpus Linguistic 2007, 2007
1832007
Making sense of word embeddings
M Pelevina, N Arefyev, C Biemann, A Panchenko
Rep4NLP Workshop at ACL, 2016
1802016
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
1702013
NoSta-D Named Entity Annotation for German: Guidelines and Dataset
D Benikova, C Biemann, M Reznicek
Proceedings of LREC, 2014
1332014
That's sick dude!: Automatic identification of word sense change across different timescales
S Mitra, R Mitra, M Riedl, C Biemann, A Mukherjee, P Goyal
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
1242014
TARGER: Neural Argument Mining at Your Fingertips
A Chernodub, O Oliynyk, P Heidenreich, A Bondarenko, M Hagen, ...
ACL Demo, 2019
1122019
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