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Titlebook: Harmonization and Development of Resources and Tools for Italian Natural Language Processing within ; Roberto Basili,Cristina Bosco,Maria

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書目名稱Harmonization and Development of Resources and Tools for Italian Natural Language Processing within
編輯Roberto Basili,Cristina Bosco,Maria Simi
視頻videohttp://file.papertrans.cn/425/424329/424329.mp4
概述Recent research on Italian Natural Language Processing.Results the PARLI project.Presents the development of resources and tools.Includes supplementary material:
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Harmonization and Development of Resources and Tools for Italian Natural Language Processing within ; Roberto Basili,Cristina Bosco,Maria
描述The papers collected in this volume are selected as a sample of the progress in Natural Language Processing (NLP) performed within the Italian NLP community and especially attested by the PARLI project. PARLI (Portale per l’Accesso alle Risorse in Lingua Italiana) is a project partially funded by the Ministero Italiano per l’Università e la Ricerca (PRIN 2008) from 2008 to 2012 for monitoring and fostering the harmonic growth and coordination of the activities of Italian NLP. It was proposed by various teams of researchers working in Italian universities and research institutions. According to the spirit of the PARLI project, most of the resources and tools created within the project and here described are freely distributed and they did not terminate their life at the end of the project itself, hoping they could be a key factor in future development of computational linguistics.
出版日期Book 2015
關鍵詞Computational Intelligence; Intelligent Systems; Italian Natural Language Processing; Natural Language
版次1
doihttps://doi.org/10.1007/978-3-319-14206-7
isbn_softcover978-3-319-36682-1
isbn_ebook978-3-319-14206-7Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Semantic Tree Kernels for Statistical Natural Language Learningin the kernel function only through a similarity function among lexical nodes. The SPTK has been evaluated in three complex automatic Semantic Processing tasks: Question Classification in Question Answering, Verb Classification and Semantic Role Labeling. Although these tasks address different probl
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