Linguistics for the age of AI

"An explantion of a knowledge-based system for creating computational agents with human-like language ability"--

Gespeichert in:

Autor*in:	McShane, Marjorie Joan - 1967- [verfasserIn] Nirenburg, Sergei [verfasserIn]

Format:	E-Book
Sprache:	Englisch

Erschienen:	Cambridge, Massachusetts: The MIT Press ; 2021

Rechteinformationen:	Open access.

Schlagwörter:	Computational linguistics Natural language processing (Computer science) Artificial intelligence Linguistics Natural Language Processing Artificial Intelligence COMPUTERS / Artificial Intelligence / General Traitement automatique des langues naturelles Linguistique Linguistique informatique Intelligence artificielle
Formangabe:	Electronic books

Anmerkung:	Includes bibliographical references and index. - Print version record
Umfang:	1 online resource (xvii, 429 pages) ; illustrations

Links:	Link aufrufen Link aufrufen Link aufrufen
ISBN:	978-0-262-36313-6 0-262-36313-5 978-0-262-36260-3 0-262-36260-0

Katalog-ID:	177556598X

Internformat


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245	1	0	\|a Linguistics for the age of AI \|c Marjorie McShane and Sergei Nirenburg
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500			\|a Includes bibliographical references and index. - Print version record
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520			\|a "An explantion of a knowledge-based system for creating computational agents with human-like language ability"--
520			\|a "One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI, McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand, explain, and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture"--Publisher's description.
650		0	\|a Computational linguistics
650		0	\|a Natural language processing (Computer science)
650		0	\|a Artificial intelligence
650		0	\|a Linguistics
650		2	\|a Natural Language Processing
650		2	\|a Artificial Intelligence
650		2	\|a Linguistics
650		4	\|a COMPUTERS / Artificial Intelligence / General
650		4	\|a Artificial intelligence
650		4	\|a Computational linguistics
650		4	\|a Linguistics
650		4	\|a Natural language processing (Computer science)
650		4	\|a Traitement automatique des langues naturelles
650		4	\|a Linguistique
650		4	\|a Linguistique informatique
650		4	\|a Artificial intelligence
650		4	\|a Computational linguistics
650		4	\|a Linguistics
650		4	\|a Intelligence artificielle
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Indexfelder

author_variant	m j m mj mjm s n sn
matchkey_str	book:9780262363136:2021----
oclc_num	1244236044
hierarchy_sort_str	[2021]
publishDate	2021
allfields	9780262363136 electronic bk. 978-0-262-36313-6 0262363135 electronic bk. 0-262-36313-5 9780262362603 electronic bk. 978-0-262-36260-3 0262362600 0-262-36260-0 (DE-627)177556598X (DE-599)KEP068902581 (OCoLC)1244236044 (MITPRESS)9377588 (EBP)068902581 DE-627 ger DE-627 rda eng 401/.430285635 23 McShane, Marjorie Joan 1967- verfasserin aut Linguistics for the age of AI Marjorie McShane and Sergei Nirenburg Cambridge, Massachusetts The MIT Press [2021] 1 online resource (xvii, 429 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record Open access. "An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- "One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI, McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand, explain, and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture"--Publisher's description. Computational linguistics Natural language processing (Computer science) Artificial intelligence Linguistics Natural Language Processing Artificial Intelligence Linguistics COMPUTERS / Artificial Intelligence / General Artificial intelligence Computational linguistics Linguistics Natural language processing (Computer science) Traitement automatique des langues naturelles Linguistique Linguistique informatique Artificial intelligence Computational linguistics Linguistics Intelligence artificielle Electronic books Nirenburg, Sergei verfasserin aut 9780262045582 Erscheint auch als Druck-Ausgabe 9780262045582 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 X:MITPRESS Verlag lizenzpflichtig https://ieeexplore.ieee.org/book/9377588 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2021 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 BO 045F 401/.430285635 22 01 0018 3996870477 olrm-h228-MITIEEE zi22818 27-10-21 23 01 0830 3996870760 olr-MIT i z 27-10-21 62 01 0028 3996871465 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 27-10-21 100 01 3100 4472470098 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011224545 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/servlet/opac?bknumber=9377588 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 62 01 0028 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 100 01 3100 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/servlet/opac?bknumber=9377588 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
spelling	9780262363136 electronic bk. 978-0-262-36313-6 0262363135 electronic bk. 0-262-36313-5 9780262362603 electronic bk. 978-0-262-36260-3 0262362600 0-262-36260-0 (DE-627)177556598X (DE-599)KEP068902581 (OCoLC)1244236044 (MITPRESS)9377588 (EBP)068902581 DE-627 ger DE-627 rda eng 401/.430285635 23 McShane, Marjorie Joan 1967- verfasserin aut Linguistics for the age of AI Marjorie McShane and Sergei Nirenburg Cambridge, Massachusetts The MIT Press [2021] 1 online resource (xvii, 429 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record Open access. "An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- "One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI, McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand, explain, and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture"--Publisher's description. Computational linguistics Natural language processing (Computer science) Artificial intelligence Linguistics Natural Language Processing Artificial Intelligence Linguistics COMPUTERS / Artificial Intelligence / General Artificial intelligence Computational linguistics Linguistics Natural language processing (Computer science) Traitement automatique des langues naturelles Linguistique Linguistique informatique Artificial intelligence Computational linguistics Linguistics Intelligence artificielle Electronic books Nirenburg, Sergei verfasserin aut 9780262045582 Erscheint auch als Druck-Ausgabe 9780262045582 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 X:MITPRESS Verlag lizenzpflichtig https://ieeexplore.ieee.org/book/9377588 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2021 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 BO 045F 401/.430285635 22 01 0018 3996870477 olrm-h228-MITIEEE zi22818 27-10-21 23 01 0830 3996870760 olr-MIT i z 27-10-21 62 01 0028 3996871465 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 27-10-21 100 01 3100 4472470098 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011224545 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/servlet/opac?bknumber=9377588 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 62 01 0028 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 100 01 3100 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/servlet/opac?bknumber=9377588 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfields_unstemmed	9780262363136 electronic bk. 978-0-262-36313-6 0262363135 electronic bk. 0-262-36313-5 9780262362603 electronic bk. 978-0-262-36260-3 0262362600 0-262-36260-0 (DE-627)177556598X (DE-599)KEP068902581 (OCoLC)1244236044 (MITPRESS)9377588 (EBP)068902581 DE-627 ger DE-627 rda eng 401/.430285635 23 McShane, Marjorie Joan 1967- verfasserin aut Linguistics for the age of AI Marjorie McShane and Sergei Nirenburg Cambridge, Massachusetts The MIT Press [2021] 1 online resource (xvii, 429 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record Open access. "An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- "One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI, McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand, explain, and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture"--Publisher's description. Computational linguistics Natural language processing (Computer science) Artificial intelligence Linguistics Natural Language Processing Artificial Intelligence Linguistics COMPUTERS / Artificial Intelligence / General Artificial intelligence Computational linguistics Linguistics Natural language processing (Computer science) Traitement automatique des langues naturelles Linguistique Linguistique informatique Artificial intelligence Computational linguistics Linguistics Intelligence artificielle Electronic books Nirenburg, Sergei verfasserin aut 9780262045582 Erscheint auch als Druck-Ausgabe 9780262045582 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 X:MITPRESS Verlag lizenzpflichtig https://ieeexplore.ieee.org/book/9377588 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2021 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 BO 045F 401/.430285635 22 01 0018 3996870477 olrm-h228-MITIEEE zi22818 27-10-21 23 01 0830 3996870760 olr-MIT i z 27-10-21 62 01 0028 3996871465 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 27-10-21 100 01 3100 4472470098 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011224545 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/servlet/opac?bknumber=9377588 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 62 01 0028 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 100 01 3100 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/servlet/opac?bknumber=9377588 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfieldsGer	9780262363136 electronic bk. 978-0-262-36313-6 0262363135 electronic bk. 0-262-36313-5 9780262362603 electronic bk. 978-0-262-36260-3 0262362600 0-262-36260-0 (DE-627)177556598X (DE-599)KEP068902581 (OCoLC)1244236044 (MITPRESS)9377588 (EBP)068902581 DE-627 ger DE-627 rda eng 401/.430285635 23 McShane, Marjorie Joan 1967- verfasserin aut Linguistics for the age of AI Marjorie McShane and Sergei Nirenburg Cambridge, Massachusetts The MIT Press [2021] 1 online resource (xvii, 429 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record Open access. "An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- "One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI, McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand, explain, and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture"--Publisher's description. Computational linguistics Natural language processing (Computer science) Artificial intelligence Linguistics Natural Language Processing Artificial Intelligence Linguistics COMPUTERS / Artificial Intelligence / General Artificial intelligence Computational linguistics Linguistics Natural language processing (Computer science) Traitement automatique des langues naturelles Linguistique Linguistique informatique Artificial intelligence Computational linguistics Linguistics Intelligence artificielle Electronic books Nirenburg, Sergei verfasserin aut 9780262045582 Erscheint auch als Druck-Ausgabe 9780262045582 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 X:MITPRESS Verlag lizenzpflichtig https://ieeexplore.ieee.org/book/9377588 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2021 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 BO 045F 401/.430285635 22 01 0018 3996870477 olrm-h228-MITIEEE zi22818 27-10-21 23 01 0830 3996870760 olr-MIT i z 27-10-21 62 01 0028 3996871465 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 27-10-21 100 01 3100 4472470098 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011224545 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/servlet/opac?bknumber=9377588 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 62 01 0028 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 100 01 3100 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/servlet/opac?bknumber=9377588 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfieldsSound	9780262363136 electronic bk. 978-0-262-36313-6 0262363135 electronic bk. 0-262-36313-5 9780262362603 electronic bk. 978-0-262-36260-3 0262362600 0-262-36260-0 (DE-627)177556598X (DE-599)KEP068902581 (OCoLC)1244236044 (MITPRESS)9377588 (EBP)068902581 DE-627 ger DE-627 rda eng 401/.430285635 23 McShane, Marjorie Joan 1967- verfasserin aut Linguistics for the age of AI Marjorie McShane and Sergei Nirenburg Cambridge, Massachusetts The MIT Press [2021] 1 online resource (xvii, 429 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record Open access. "An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- "One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI, McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand, explain, and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture"--Publisher's description. Computational linguistics Natural language processing (Computer science) Artificial intelligence Linguistics Natural Language Processing Artificial Intelligence Linguistics COMPUTERS / Artificial Intelligence / General Artificial intelligence Computational linguistics Linguistics Natural language processing (Computer science) Traitement automatique des langues naturelles Linguistique Linguistique informatique Artificial intelligence Computational linguistics Linguistics Intelligence artificielle Electronic books Nirenburg, Sergei verfasserin aut 9780262045582 Erscheint auch als Druck-Ausgabe 9780262045582 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 X:MITPRESS Verlag lizenzpflichtig https://ieeexplore.ieee.org/book/9377588 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2021 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 BO 045F 401/.430285635 22 01 0018 3996870477 olrm-h228-MITIEEE zi22818 27-10-21 23 01 0830 3996870760 olr-MIT i z 27-10-21 62 01 0028 3996871465 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 27-10-21 100 01 3100 4472470098 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011224545 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/servlet/opac?bknumber=9377588 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 62 01 0028 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 100 01 3100 https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/servlet/opac?bknumber=9377588 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/servlet/opac?bknumber=9377588 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
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topic_facet	Computational linguistics Natural language processing (Computer science) Artificial intelligence Linguistics Natural Language Processing Artificial Intelligence COMPUTERS / Artificial Intelligence / General Traitement automatique des langues naturelles Linguistique Linguistique informatique Intelligence artificielle
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author	McShane, Marjorie Joan 1967-
spellingShingle	McShane, Marjorie Joan 1967- ddc 401/.430285635 misc Computational linguistics misc Natural language processing (Computer science) misc Artificial intelligence misc Linguistics misc Natural Language Processing misc Artificial Intelligence misc COMPUTERS / Artificial Intelligence / General misc Traitement automatique des langues naturelles misc Linguistique misc Linguistique informatique misc Intelligence artificielle Linguistics for the age of AI
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topic_title	401/.430285635 23 Linguistics for the age of AI Marjorie McShane and Sergei Nirenburg Computational linguistics Natural language processing (Computer science) Artificial intelligence Linguistics Natural Language Processing Artificial Intelligence COMPUTERS / Artificial Intelligence / General Traitement automatique des langues naturelles Linguistique Linguistique informatique Intelligence artificielle
publisher	The MIT Press
publisherStr	The MIT Press
topic	ddc 401/.430285635 misc Computational linguistics misc Natural language processing (Computer science) misc Artificial intelligence misc Linguistics misc Natural Language Processing misc Artificial Intelligence misc COMPUTERS / Artificial Intelligence / General misc Traitement automatique des langues naturelles misc Linguistique misc Linguistique informatique misc Intelligence artificielle
topic_unstemmed	ddc 401/.430285635 misc Computational linguistics misc Natural language processing (Computer science) misc Artificial intelligence misc Linguistics misc Natural Language Processing misc Artificial Intelligence misc COMPUTERS / Artificial Intelligence / General misc Traitement automatique des langues naturelles misc Linguistique misc Linguistique informatique misc Intelligence artificielle
topic_browse	ddc 401/.430285635 misc Computational linguistics misc Natural language processing (Computer science) misc Artificial intelligence misc Linguistics misc Natural Language Processing misc Artificial Intelligence misc COMPUTERS / Artificial Intelligence / General misc Traitement automatique des langues naturelles misc Linguistique misc Linguistique informatique misc Intelligence artificielle
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title_full	Linguistics for the age of AI Marjorie McShane and Sergei Nirenburg
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title_auth	Linguistics for the age of AI
abstract	"An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- "One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI, McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand, explain, and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture"--Publisher's description. Includes bibliographical references and index. - Print version record
abstractGer	"An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- "One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI, McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand, explain, and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture"--Publisher's description. Includes bibliographical references and index. - Print version record
abstract_unstemmed	"An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- "One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning—the deep, context-sensitive meaning that a person derives from spoken or written language. With Linguistics for the Age of AI, McShane and Nirenburg offer a roadmap for creating language-endowed intelligent agents (LEIAs) that can understand, explain, and learn. They describe the language-understanding capabilities of LEIAs from the perspectives of cognitive modeling and system building, emphasizing “actionability”—which involves achieving interpretations that are sufficiently deep, precise, and confident to support reasoning about action. After detailing their microtheories for topics such as semantic analysis, basic coreference, and situational reasoning, McShane and Nirenburg turn to agent applications developed using those microtheories and evaluations of a LEIA's language understanding capabilities. McShane and Nirenburg argue that the only way to achieve human-level language understanding by machines is to place linguistics front and center, using statistics and big data as contributing resources. They lay out a long-term research program that addresses linguistics and real-world reasoning together, within a comprehensive cognitive architecture"--Publisher's description. Includes bibliographical references and index. - Print version record
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title_short	Linguistics for the age of AI
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