LEADER 04919nam 22007095 450 001 9910483614903321 005 20200705022623.0 010 $a981-13-0062-3 024 7 $a10.1007/978-981-13-0062-2 035 $a(CKB)4100000006098266 035 $a(DE-He213)978-981-13-0062-2 035 $a(MiAaPQ)EBC5921923 035 $a(PPN)229914977 035 $a(EXLCZ)994100000006098266 100 $a20180829d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeural Representations of Natural Language /$fby Lyndon White, Roberto Togneri, Wei Liu, Mohammed Bennamoun 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (XIV, 122 p. 36 illus., 31 illus. in color.) 225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v783 311 $a981-13-0061-5 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Machine Learning for Representations -- Current Challenges in Natural Language Processing -- Word Representations -- Word Sense Representations -- Phrase Representations -- Sentence representations and beyond -- Character-Based Representations -- Conclusion. 330 $aThis book offers an introduction to modern natural language processing using machine learning, focusing on how neural networks create a machine interpretable representation of the meaning of natural language. Language is crucially linked to ideas ? as Webster?s 1923 ?English Composition and Literature? puts it: ?A sentence is a group of words expressing a complete thought?. Thus the representation of sentences and the words that make them up is vital in advancing artificial intelligence and other ?smart? systems currently being developed. Providing an overview of the research in the area, from Bengio et al.?s seminal work on a ?Neural Probabilistic Language Model? in 2003, to the latest techniques, this book enables readers to gain an understanding of how the techniques are related and what is best for their purposes. As well as a introduction to neural networks in general and recurrent neural networks in particular, this book details the methods used for representing words, senses of words, and larger structures such as sentences or documents. The book highlights practical implementations and discusses many aspects that are often overlooked or misunderstood. The book includes thorough instruction on challenging areas such as hierarchical softmax and negative sampling, to ensure the reader fully and easily understands the details of how the algorithms function. Combining practical aspects with a more traditional review of the literature, it is directly applicable to a broad readership. It is an invaluable introduction for early graduate students working in natural language processing; a trustworthy guide for industry developers wishing to make use of recent innovations; and a sturdy bridge for researchers already familiar with linguistics or machine learning wishing to understand the other. 410 0$aStudies in Computational Intelligence,$x1860-949X ;$v783 606 $aComputational intelligence 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aPattern perception 606 $aComputational linguistics 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputational Linguistics$3https://scigraph.springernature.com/ontologies/product-market-codes/N22000 615 0$aComputational intelligence. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aPattern perception. 615 0$aComputational linguistics. 615 14$aComputational Intelligence. 615 24$aSignal, Image and Speech Processing. 615 24$aPattern Recognition. 615 24$aComputational Linguistics. 676 $a006.3 700 $aWhite$b Lyndon$4aut$4http://id.loc.gov/vocabulary/relators/aut$01224820 702 $aTogneri$b Roberto$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aLiu$b Wei$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aBennamoun$b Mohammed$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483614903321 996 $aNeural Representations of Natural Language$92843939 997 $aUNINA