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An outline of type-theoretical approaches to lexical semantics
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In: ISSN: 2299-856X ; EISSN: 2299-8470 ; Journal of Language Modelling ; https://hal.archives-ouvertes.fr/hal-01802968 ; Journal of Language Modelling, Institute of Computer Science, Polish Academy of Sciences, Poland, 2017, 5 (2), pp.165-178. ⟨10.15398/jlm.v5i2.200⟩ (2017)
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Domain adaptation for statistical machine translation and neural machine translation
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Zhang, Jian. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
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In: Zhang, Jian orcid:0000-0001-5659-5865 (2017) Domain adaptation for statistical machine translation and neural machine translation. PhD thesis, Dublin City University. (2017)
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Detection of verbal multi-word expressions via conditional random fields with syntactic dependency features and semantic re-ranking
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In: Maldonado, Alfredo orcid:0000-0001-8426-5249 , Han, Lifeng orcid:0000-0002-3221-2185 , Moreau, Erwan orcid:0000-0001-7692-526X , Alsulaimani, Ashjan, Chowdhury, Koel, Vogel, Carl orcid:0000-0001-8928-8546 and Liu, Qun orcid:0000-0002-7000-1792 (2017) Detection of verbal multi-word expressions via conditional random fields with syntactic dependency features and semantic re-ranking. In: 13th Workshop on Multiword Expressions (MWE 2017), Apr 2017, Valencia, Spain. (2017)
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Incorporating visual information into neural machine translation
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Calixto, Iacer. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
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In: Calixto, Iacer (2017) Incorporating visual information into neural machine translation. PhD thesis, Dublin City University. (2017)
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Dublin City University participation in the VTT track at TRECVid 2017
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In: Afli, Haithem orcid:0000-0002-7449-4707 , Hu, Feiyan orcid:0000-0001-7451-6438 , Du, Jinhua orcid:0000-0002-3267-4881 , Cosgrove, Daniel, McGuinness, Kevin orcid:0000-0003-1336-6477 , O'Connor, Noel E. orcid:0000-0002-4033-9135 , Arazo Sánchez, Eric, Zhou, Jiang orcid:0000-0002-3067-8512 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2017) Dublin City University participation in the VTT track at TRECVid 2017. In: TRECVid workshop, 13-15 Nov 2017, Gaithersburg, Md., USA. (2017)
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Machine translation of morphologically rich languages using deep neural networks
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Passban, Peyman. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
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In: Passban, Peyman (2017) Machine translation of morphologically rich languages using deep neural networks. PhD thesis, Dublin City University. (2017)
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Entity linking for Tweets
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In: Basile, Pierpaolo orcid:0000-0002-0545-1105 and Caputo, Annalina orcid:0000-0002-7144-8545 (2017) Entity linking for Tweets. Encyclopedia with Semantic Computing and Robotic Intelligence, 1 (1). pp. 1-9. ISSN 2529-7376 (2017)
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How do users perceive information: analyzing user feedback while annotating textual units
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In: Arora, Piyush orcid:0000-0003-0055-345X and Jones, Gareth J.F. orcid:0000-0003-2923-8365 (2017) How do users perceive information: analyzing user feedback while annotating textual units. In: CHIIR 2017 Workshop on Supporting Complex Search Tasks, 11 Mar 2017, Oslo, Norway. (2017)
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Evaluative language beyond bags of words: Linguistic insights and computational applications.
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02540259 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2017, 43 (1), pp.201-264. ⟨10.1162/COLI_a_00278⟩ (2017)
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Synthesizing Sign Language by connecting linguistically structured descriptions to a multi-track animation system
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In: Lecture Notes in Computer Science ; 11th International Conference on Universal Access in Human-Computer Interaction (UAHCI 2017) held as Part of HCI International 2017 ; https://hal.archives-ouvertes.fr/hal-01849419 ; 11th International Conference on Universal Access in Human-Computer Interaction (UAHCI 2017) held as Part of HCI International 2017, Jul 2017, Vancouver, Canada. ⟨10.1007/978-3-319-58703-5_3⟩ ; http://2017.hci.international/uahci (2017)
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Abstract:
International audience ; Animating sign language requires both a model of the structure of the target language and a computer animation system capable of producing the resulting avatar motion. On the language modelling side, AZee proposes a methodology and formal description mechanism to build grammars of Sign languages. It has mostly assumed the existence of an avatar capable of rendering its low-level articulation specifications. On the computer animation side, the Paula ani-mator system proposes a multi-track SL generation platform designed for realism of movements, programmed from its birth to be driven by linguistic input. This paper presents a system architecture making use of the advantages of the two research efforts that have matured in recent years to the point where a connection is now possible. This paper describes the essence of both systems and describes the foundations of a connected system, resulting in a full process from abstract linguistic input straight to animated video. The main contribution is in addressing the trade-off between coarser natural-looking segments and composition of linguistically relevant atoms.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Avatar; Computational linguistics; Computer animation; Sign language
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URL: https://doi.org/10.1007/978-3-319-58703-5_3
https://hal.archives-ouvertes.fr/hal-01849419
https://hal.archives-ouvertes.fr/hal-01849419/document
https://hal.archives-ouvertes.fr/hal-01849419/file/Filhol-AzeePaula-FINAL.pdf
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Neural architecture for temporal relation extraction: A Bi-LSTM approach for detecting narrative containers
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In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics ; https://hal-cea.archives-ouvertes.fr/cea-01841667 ; Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Jul 2017, Vancouver, Canada. pp.224-230, ⟨10.18653/v1/P17-2035⟩ (2017)
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El análisis estilométrico aplicado a la literatura española: las novales policiacas e históricas ...
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Annual contributions to the Genealogical World of Phylogenetic Networks II ...
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Assessing the applicability of surface EMG to tongue gesture detection
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