Discourse representation theory H Kamp, J Genabith, U Reyle Handbook of philosophical logic, 125-394, 2011 | 622 | 2011 |
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 | 209 | 2017 |
Learning morphology with Morfette G Chrupała, G Dinu, J Van Genabith | 167 | 2008 |
# 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 | 162 | 2011 |
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 | 155 | 2017 |
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 | 145 | 2004 |
Questionbank: Creating a corpus of parse-annotated questions J Judge, A Cahill, J Van Genabith Association for Computational Linguistics, 2006 | 116 | 2006 |
Neural machine translation for low-resource languages without parallel corpora A Karakanta, J Dehdari, J van Genabith Machine Translation 32, 167-189, 2018 | 107 | 2018 |
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 | 103 | 2010 |
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 | 99 | 2011 |
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 | 97 | 2010 |
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 | 78 | 2005 |
Statistical post-editing for a statistical MT system H Bechara, Y Ma, J van Genabith Proceedings of Machine Translation Summit XIII: Papers, 2011 | 72 | 2011 |
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 |
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 | 70 | 2007 |
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 | 69 | 2017 |
Automatic annotation of the Penn-Treebank with LFG F-structure information A Cahill, M McCarthy, J Van Genabith, A Way | 69 | 2002 |
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 | 68 | 2007 |
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 | 67 | 2015 |
Dependency-based automatic evaluation for machine translation K Owczarzak, J Van Genabith, A Way Association for Computational Linguistics, 2007 | 64 | 2007 |