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Linguistics for the age of AI
McShane, Marjorie Joan
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| 자료유형 | E-BOOK |
|---|---|
| 서명/저자사항 | Linguistics for the age of AI/ Marjorie McShane and Sergei Nirenburg. |
| 개인저자 | McShane, Marjorie Joan,1967- author. Nirenburg, Sergei,author, |
| 발행사항 | Cambridge, Massachusetts: The MIT Press, [2021]. |
| 형태사항 | 1 online resource (xvii, 429 pages): illustrations. |
| 기타형태 저록 | Print version: McShane, Marjorie Joan, 1967- Linguistics for the age of AI. Cambridge, Massachusetts : The MIT Press, [2021] 9780262045582 |
| ISBN | 9780262363136 0262363135 9780262362603 0262362600 |
| 기타표준부호 | 10.7551/mitpress/13618.001.0001doi |
| 발행자번호 | EB00823214Recorded Books |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | Setting the stage -- Our vision of linguistics for the age of AI -- A brief overview of natural languge understanding by LEIAs -- Pre-semantic analysis and integration -- Basic semantic analysis -- Basic coreference resolution -- Extended semantic analysis -- Situational reasoning -- Agent applications : the rationale for deep, integrated NLU -- Measuring progress -- Epilogue. |
| 이용제한사항 | Open access. |
| 요약 | "An explantion of a knowledge-based system for creating computational agents with human-like language ability"-- |
| 요약 | "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. |
| 해제 | Provided by publisher. |
| 일반주제명 | Computational linguistics. Natural language processing (Computer science) Artificial intelligence. Linguistics. COMPUTERS / Artificial Intelligence / General. |
| 언어 | 영어 |
| 바로가기 | URL |
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