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Improving the performance of an example-based machine translation system using a domain-specific bilingual lexicon
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In: 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015 ; https://hal-cea.archives-ouvertes.fr/cea-01844060 ; 29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015, Oct 2015, Shangai, China. pp.106-115 (2015)
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Evaluating the impact of using a domain-specific bilingual lexicon on the performance of a hybrid machine translation approach
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In: 10th International Conference on Recent Advances in Natural Language Processing, RANLP 201 ; https://hal-cea.archives-ouvertes.fr/cea-01844051 ; 10th International Conference on Recent Advances in Natural Language Processing, RANLP 201, Sep 2015, Hissar, Bulgaria. pp.579-587 (2015)
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Handwritten word recognition using Web resources and recurrent neural networks
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In: International Journal on Document Analysis and Recognition ; https://hal.archives-ouvertes.fr/hal-01845537 ; International Journal on Document Analysis and Recognition, 2015, 18 (4), pp.287-301. ⟨10.1007/s10032-015-0251-1⟩ (2015)
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Generative event schema induction with entity disambiguation
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In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing ; https://hal-cea.archives-ouvertes.fr/cea-01844047 ; Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Jul 2015, Beijing, China. pp.188-197 (2015)
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Abstract:
Conference of 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL-IJCNLP 2015 ; Conference Date: 26 July 2015 Through 31 July 2015; Conference Code:114195 ; International audience ; This paper presents a generative model to event schema induction. Previous methods in the literature only use head words to represent entities. However, elements other than head words contain useful information. For instance, an armed man is more discriminative than man. Our model takes into account this information and precisely represents it using probabilistic topic distributions. We illustrate that such information plays an important role in parameter estimation. Mostly, it makes topic distributions more coherent and more discriminative. Experimental results on benchmark dataset empirically confirm this enhancement.
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Keyword:
[PHYS]Physics [physics]; Benchmark datasets; Computational linguistics; Entity disambiguation; Generative model; Information use; Linguistics; Natural language processing systems; Probability distributions; Topic distributions
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URL: https://hal-cea.archives-ouvertes.fr/cea-01844047
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BLSTM-based handwritten text recognition using Web resources
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In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR) ; https://hal-cea.archives-ouvertes.fr/cea-01841169 ; 2015 13th International Conference on Document Analysis and Recognition (ICDAR), Aug 2015, Tunis, Tunisia. pp.466-470, ⟨10.1109/ICDAR.2015.7333805⟩ (2015)
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Early and late combinations of criteria for reranking distributional thesauri
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In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Short Papers) ; https://hal-cea.archives-ouvertes.fr/cea-01844049 ; Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Short Papers), Jul 2015, Beijing, China. pp.470-476 (2015)
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