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                  <mods:namePart>Soler Company, Juan</mods:namePart>
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                  <mods:namePart>Ballesteros, Miguel</mods:namePart>
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                  <mods:namePart>Bohnet, Bernd</mods:namePart>
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                  <mods:namePart>Mille, Simon</mods:namePart>
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                  <mods:namePart>Wanner, Leo</mods:namePart>
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                  <mods:dateIssued encoding="iso8601">2016-12-05T08:36:11Z2016-12-05T08:36:11Z2015</mods:dateIssued>
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               <mods:abstract>Comunicació presentada a la 2015 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015), celebrada del 31 de maig al 5 de juny 2015 a Denver (CO, EUA).“Deep-syntactic” dependency structures bridge the gap between the surface-syntactic structures as produced by state-of-the-art dependency parsers and semantic logical forms in that they abstract away from surfacesyntactic idiosyncrasies, but still keep the linguistic structure of a sentence. They have thus a great potential for such downstream applications as machine translation and summarization. In this demo paper, we propose an online version of a deep-syntactic parser that outputs deep-syntactic structures from plain sentences and visualizes them using the Brat tool. Along with the deep syntactic structures, the user can also inspect the visual presentation of the surface-syntactic structures that serve as input to the deep-syntactic parser and that are produced by the joint tagger and syntactic transition-based parser ran in the pipeline before deep-syntactic parsing takes place.This work has been partially funded by the European Union’s Seventh Framework and Horizon 2020 Research and Innovation Programmes under the Grant Agreement numbers FP7-ICT-610411, FP7-SME- 606163, and H2020-RIA-645012.</mods:abstract>
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                  <mods:topic>Tractament del llenguatge natural (Informàtica)</mods:topic>
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               <mods:subject>
                  <mods:topic>Lingüística computacional</mods:topic>
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                  <mods:title>Visualizing deep-syntactic parser output</mods:title>
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