LEADER 01587nam0 2200349 i 450 001 PUV0747156 005 20251003044315.0 010 $a8814077711 020 $aIT$b2002-6391 100 $a20100125d2001 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aBrokeraggio e tipo contrattuale$fEmanuela Giacobbe 210 $aMilano$cA. Giuffrč$d2001 215 $aVIII, 516 p.$d24 cm. 225 | $aPubblicazioni della Facoltā di giurisprudenza$fII Universitā degli studi di Roma$g[poi] Universitā degli studi di Roma Tor Vergata.$i$v8 410 0$1001RMG0027253$12001 $aPubblicazioni della Facoltā di giurisprudenza$fII Universitā degli studi di Roma$g[poi] Universitā degli studi di Roma Tor Vergata.$i$v8$171201$aUniversitā degli studi di Roma Tor Vergata$b : Facoltā di giurisprudenza$3CFIV094304 606 $aContratto di brokeraggio$2FIR$3CFIC109593$9I 676 $a346$9Diritto privato$v12 676 $a346.45086$9DIRITTO DELLE ASSICURAZIONI. ITALIA$v19 676 $a346.45086$9DIRITTO DELLE ASSICURAZIONI. ITALIA$v21 700 1$aGiacobbe$b, Emanuela$3MILV069109$4070$0279500 801 3$aIT$bIT-000000$c20100125 850 $aIT-BN0095 901 $bNAP 01$cD $n$ 912 $aPUV0747156 950 0$aBiblioteca Centralizzata di Ateneo$c1 v.$d 01D (C) 000 576$e 01C 0008005765 VMA 1 v.$fY $h20121008$i20121008 977 $a 01 996 $aBrokeraggio e tipo contrattuale$9662886 997 $aUNISANNIO LEADER 02724nam 22004335 450 001 9910299297603321 005 20251201140128.0 010 $a981-10-5209-3 035 $a(MiAaPQ)EBC5401147 035 $a(PPN)227400747 035 $a(CKB)4100000004244272 035 $a(BIP)76736567 035 $a(EXLCZ)994100000004244272 100 $a20220519d2018 u| 0 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aDeep Learning in Natural Language Processing /$fedited by Li Deng, Yang Liu 210 $aSingapore $cSpringer Singapore $cImprint: Springer$d2018 215 $a1 online resource (338 pages) 330 $aIn recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence.  This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.  606 $aArtificial intelligence 606 $aNatural language processing (Computer science) 606 $aMathematical statistics 606 $aTractament del llenguatge natural (Informātica)$2thub 606 $aLingüística computacional$2thub 608 $aLlibres electrōnics$2thub 615 0$aArtificial intelligence. 615 0$aNatural language processing (Computer science) 615 0$aMathematical statistics. 615 7$aTractament del llenguatge natural (Informātica) 615 7$aLingüística computacional. 702 $aDeng$b Li 702 $aLiu$b Yang 906 $aBOOK 912 $a9910299297603321 996 $aDeep Learning in Natural Language Processing$92007749 997 $aUNINA