LEADER 05428nam 22006255 450 001 9910255003003321 005 20200705060058.0 010 $a3-319-41337-6 024 7 $a10.1007/978-3-319-41337-2 035 $a(CKB)3710000000981143 035 $a(DE-He213)978-3-319-41337-2 035 $a(MiAaPQ)EBC6312257 035 $a(MiAaPQ)EBC5588911 035 $a(Au-PeEL)EBL5588911 035 $a(OCoLC)965136059 035 $a(PPN)19714022X 035 $a(EXLCZ)993710000000981143 100 $a20161118d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNatural Language Understanding in a Semantic Web Context /$fby Caroline Barrière 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XVII, 317 p.) 311 $a3-319-41335-X 327 $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. 330 $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 ?quest, 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 ?Searching for Entities in Text? is dedicated to the search for entities in textual data. Next, Part II ?Working with Corpora? investigates corpora as valuable resources for NLP work. In turn, Part III ?Semantic Grounding and Relatedness? focuses on the process of linking surface forms found in text to entities in resources. Finally, Part IV ?Knowledge Acquisition? delves into the world of relations and relation extraction. The book also includes three appendices: ?A Look into the Semantic Web? 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. ?NLP Tools and Platforms? provides information about NLP platforms and tools, while ?Relation Lists? 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. 606 $aArtificial intelligence 606 $aNatural language processing (Computer science) 606 $aApplication software 606 $aComputational linguistics 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000 615 0$aArtificial intelligence. 615 0$aNatural language processing (Computer science) 615 0$aApplication software. 615 0$aComputational linguistics. 615 14$aArtificial Intelligence. 615 24$aNatural Language Processing (NLP). 615 24$aInformation Systems Applications (incl. Internet). 615 24$aComputational Linguistics. 676 $a006.35 700 $aBarrière$b Caroline$4aut$4http://id.loc.gov/vocabulary/relators/aut$0880213 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910255003003321 996 $aNatural Language Understanding in a Semantic Web Context$92102225 997 $aUNINA