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020 _a9783319413372
024 7 _a10.1007/978-3-319-41337-2
_2doi
040 _aES-MaUEC
050 4 _aQA76.9.N38
_bB377 2016 EB
100 1 _aBarrière, Caroline
_0http://id.loc.gov/authorities/names/no2012152318
_0Local
_9101569
245 1 0 _aNatural Language Understanding in a Semantic Web Context
_cby Caroline Barrière.
260 _aCham, Switzerland
_bSpringer
_c2016
300 _a1 recurso en línea (XVII, 317 p.)
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _a1 Introduction -- Part I Searching for Entities in Text -- Part II Working with Corpora -- Part III Semantic grounding and relatedness -- Part IV Knowledge Acquisition -- Appendix A A look into the Semantic Web -- Appendix B NLP tools, platforms and resources -- Appendix C Relation lists -- References.
520 _aThis book serves as a starting point for Semantic Web (SW) students and researchers interested in discovering what Natural Language Processing (NLP) has to offer. NLP can effectively help uncover the large portions of data held as unstructured text in natural language, thus augmenting the real content of the semantic web in a significant and lasting way. The book covers the basics of NLP, with a focus on Natural Language Understanding (NLU), referring to semantic processing, information extraction and knowledge acquisition, which are seen as the key links between the SW and NLP communities. Major emphasis is placed on mining sentences in search of entities and relations. In the course of this zquest, challenges will be encountered for various text analysis tasks, including part-of-speech tagging, parsing, semantic disambiguation, named entity recognition and relation extraction. Standard algorithms associated with these tasks are presented to provide an understanding of the fundamental concepts. Furthermore, the importance of experimental design and result analysis is emphasized, and accordingly, most chapters include small experiments on corpus data with quantitative and qualitative analysis of the results. This book is divided into four parts. Part I zSearching for Entities in Texty is dedicated to the search for entities in textual data. Next, Part II zWorking with Corporay investigates corpora as valuable resources for NLP work. In turn, Part III zSemantic Grounding and Relatednessy focuses on the process of linking surface forms found in text to entities in resources. Finally, Part IV zKnowledge Acquisitiony delves into the world of relations and relation extraction. The book also includes three appendices: zA Look into the Semantic Weby gives a brief overview of the Semantic Web and is intended to bring readers less familiar with the Semantic Web up to speed, so that they too can fully benefit from the material of this book. zNLP Tools and Platformsy provides information about NLP platforms and tools, while zRelation Listsy gathers lists of relations under different categories, showing how relations can be varied and serve different purposes. And finally, the book includes a glossary of over 200 terms commonly used in NLP. The book offers a valuable resource for graduate students specializing in SW technologies and professionals looking for new tools to improve the applicability of SW techniques in everyday life � or, in short, everyone looking to learn about NLP in order to expand his or her horizons. It provides a wealth of information for readers new to both fields, helping them understand the underlying principles and the challenges they may encounter.
650 7 _aInteligencia artificial
_2embne
_9413115
650 0 7 _aSistemas de información
_2embne
_9147360
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-41337-2zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
907 _a.b12981229
_b10-10-17
_c08-03-17
942 _2lcc
_cLE
945 _aQA76.9.N38 B377 2016 EB
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988 _aEBOOK, EBSPRINGER
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