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010   $a9783031642104
010   $a3031642104
024 7 $a10.1007/978-3-031-64210-4
035   $a(MiAaPQ)EBC31815242
035   $a(Au-PeEL)EBL31815242
035   $a(CKB)36822893700041
035   $a(OCoLC)1477226017
035   $a(DE-He213)978-3-031-64210-4
035   $a(EXLCZ)9936822893700041
100   $a20241204d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAI for Understanding Context /$fby Yair Neuman
205   $a1st ed. 2024.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024.
215   $a1 online resource (124 pages)
225 1 $aSpringerBriefs in Computer Science,$x2191-5776
311 08$a9783031642098 
311 08$a3031642090 
327   $aThe Importance of Context -- Toward a Theory of Context -- Large Language Models as Contextual Machines -- The One-Hundred Psychological Dimensions of Context -- Conceptualizing Context for Computational Content Analysis -- Reading Chekhov with AI -- Conversations Going Awry -- The Context of Social Norms -- Final Thoughts on AI for Understanding Context.
330   $aContext is necessary for understanding human behavior. However, so far, the concept of context has mostly been treated in a way that lacks any clear relevance for using, developing and engineering intelligent systems. In this book, the author explains the importance of context for understanding human behavior, presents a theory of context, and shows how AI, specifically Large Language Models such as GPT, can support our understanding of context when analyzing human behavior as expressed in texts ranging from conversations to short stories. Drawing on years of R&D and academic publications in top rated journals, the author provides the reader with a simple and deep understanding of context and its modeling for specific challenges, from identifying social norm violations to understanding conversations going awry and stories by great authors. The book may interest a wide variety of readers seeking to incorporate AI into their understanding of human behavior.
410  0$aSpringerBriefs in Computer Science,$x2191-5776
606   $aArtificial intelligence
606   $aNatural language processing (Computer science)
606   $aComputational linguistics
606   $aDigital humanities
606   $aNeural networks (Computer science)
606   $aArtificial Intelligence
606   $aNatural Language Processing (NLP)
606   $aComputational Linguistics
606   $aDigital Humanities
606   $aMathematical Models of Cognitive Processes and Neural Networks
615  0$aArtificial intelligence.
615  0$aNatural language processing (Computer science)
615  0$aComputational linguistics.
615  0$aDigital humanities.
615  0$aNeural networks (Computer science)
615 14$aArtificial Intelligence.
615 24$aNatural Language Processing (NLP).
615 24$aComputational Linguistics.
615 24$aDigital Humanities.
615 24$aMathematical Models of Cognitive Processes and Neural Networks.
676   $a006.3
700   $aNeuman$b Yair$0767616
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910917193903321
996   $aAI for Understanding Context$94303230
997   $aUNINA