Título:
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Multilingual event detection using the NewsReader pipelines
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Autor/a:
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Agerri, Rodrigo; Aldabe, Itziar; Laparra, Egoitz; Rigau Claramunt, German; Fokkens, Antske; Huijgen, Paul; Izquierdo Beviá, Rubén; van Erp, Marieke; Vossen, Piek; Minard, Anne-Lyse; Magnini, Bernardo
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Abstract:
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Comunicació presentada al LREC 2016 Workshop: Cross-Platform Text Mining and Natural Language Processing Interoperability, celebrat el dia 23 de maig de 2016 a Portoroz, Eslovènia. |
Abstract:
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We describe a novel modular system for cross-lingual event extraction for English, Spanish,, Dutch and Italian texts. The system consists
of a ready-to-use modular set of advanced multilingual Natural Language Processing (NLP) tools. The pipeline integrates modules for
basic NLP processing as well as more advanced tasks such as cross-lingual Named Entity Linking, Semantic Role Labeling and time
normalization. Thus, our cross-lingual framework allows for the interoperable semantic interpretation of events, participants, locations
and time, as well as the relations between them. |
Abstract:
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This work has been partially funded by NewsReader (FP7-ICT2011-8-316404) and TUNER (TIN2015-65308-C5-1-R). |
Materia(s):
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-Multilingual event detection -Interoperable semantic processing -NLP pipelines |
Derechos:
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The LREC 2016 Proceedings are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
https://creativecommons.org/licenses/by-nc/4.0/
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Tipo de documento:
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Objeto de conferencia Artículo - Versión publicada |
Editor:
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International Conference on Language Resources and Evaluation (LREC)
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