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Josef van Genabith
Josef van Genabith
DFKI German Research Center for Artificial Intelligence
Verified email at dfki.de
Title
Cited by
Cited by
Year
Discourse representation theory
H Kamp, J Genabith, U Reyle
Handbook of philosophical logic, 125-394, 2011
6602011
Exploring the use of text classification in the legal domain
OM Sulea, M Zampieri, S Malmasi, M Vela, LP Dinu, J Van Genabith
arXiv preprint arXiv:1710.09306, 2017
2222017
Predicting the law area and decisions of french supreme court cases
OM Sulea, M Zampieri, M Vela, J Van Genabith
arXiv preprint arXiv:1708.01681, 2017
1732017
Learning morphology with Morfette
G Chrupała, G Dinu, J Van Genabith
1702008
# hardtoparse: POS Tagging and Parsing the Twitterverse
J Foster, O Cetinoglu, J Wagner, J Le Roux, S Hogan, J Nivre, D Hogan, ...
Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
1622011
Long-distance dependency resolution in automatically acquired wide-coverage PCFG-based LFG approximations
A Cahill, M Burke, R O’Donovan, J Van Genabith, A Way
Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004
1472004
Questionbank: Creating a corpus of parse-annotated questions
J Judge, A Cahill, J Van Genabith
Association for Computational Linguistics, 2006
1222006
Neural machine translation for low-resource languages without parallel corpora
A Karakanta, J Dehdari, J van Genabith
Machine Translation 32, 167-189, 2018
1162018
Bridging SMT and TM with translation recommendation
Y He, Y Ma, J van Genabith, A Way
Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010
1032010
Automatic extraction of Arabic multiword expressions
M Attia, A Toral, L Tounsi, P Pecina, J Van Genabith
Proceedings of the 2010 workshop on multiword expressions: From theory to …, 2010
1012010
From news to comment: Resources and benchmarks for parsing the language of web 2.0
J Foster, O Cetinoglu, J Wagner, J Le Roux, J Nivre, D Hogan, ...
Asian Federation of Natural Language Processing, 2011
992011
How robust are character-based word embeddings in tagging and MT against wrod scramlbing or randdm nouse?
G Heigold, G Neumann, J van Genabith
arXiv preprint arXiv:1704.04441, 2017
832017
Dynamically structuring, updating and interrelating representations of visual and linguistic discourse context
J Kelleher, F Costello, J Van Genabith
Artificial Intelligence 167 (1-2), 62-102, 2005
782005
Statistical post-editing for a statistical MT system
H Bechara, Y Ma, J van Genabith
Proceedings of Machine Translation Summit XIII: Papers, 2011
742011
Reval: A simple and effective machine translation evaluation metric based on recurrent neural networks
R Gupta, C Orǎsan, J van Genabith
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
722015
Automatic annotation of the Penn-Treebank with LFG F-structure information
A Cahill, M McCarthy, J Van Genabith, A Way
722002
Labelled dependencies in machine translation evaluation
K Owczarzak, J van Genabith, A Way
Proceedings of the second workshop on statistical machine translation, 104-111, 2007
712007
GlueTag. Linear Logic based Semantics for LTAG–and what it teaches us about LFG and LTAG
A Frank, J van Genabith
Proceedings of the LFG01 Conference, Hong Kong, 2001
71*2001
A comparative evaluation of deep and shallow approaches to the automatic detection of common grammatical errors
J Wagner, J Foster, J van Genabith
Association for Computational Linguistics, 2007
702007
An empirical analysis of nmt-derived interlingual embeddings and their use in parallel sentence identification
C Espana-Bonet, AC Varga, A Barrón-Cedeno, J Van Genabith
IEEE Journal of Selected Topics in Signal Processing 11 (8), 1340-1350, 2017
652017
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