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Modularity In Knowledge Representation & Natural-Language Understanding (Paper)

proponents and critics of the modularity hypothesis - address general questions and specific problems related to modularity.;

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Modularity in Knowledge Representation and Natural-Language Understanding

The notion of modularity, introduced by Noam Chomsky and developed with special emphasis on perceptual and linguistic processes by Jerry;

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Reconstructing Reason and Representation

modules of a massively modular mind. In Reconstructing Reason and Representation, Murray Clarke offers a detailed study of the philosophical;

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Reconstructing Reason and Representation

modules of a massively modular mind.In Reconstructing Reason and Representation, Murray Clarke offers a detailed study of the;

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Representation Learning for Natural Language Processing

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for;

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Representation Learning for Natural Language Processing

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for;

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Natural Language Processing

Natural Language Processing covers all aspects of the area of linguistic analysis and the computational systems that have been developed to;

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AAAI-90

System Design Methodologies: techniques for designing expert systems and acquiring domain knowledge. Knowledge Representation: knowledge;

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The Knowledge Frontier

able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and;

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Controlled Natural Language

selected from 17 initial submissions. They broadly cover the field of controlled natural language, stressing theoretical and practical aspects;

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Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction

submissions. The papers are organized in topical sections on knowledge extraction: knowledge graph representation and reasoning; knowledge;

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Deep Learning and Linguistic Representation

achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the;

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Deep Learning and Linguistic Representation

achievements for the modelling of human learning and representation remains unclear. Deep Learning and Linguistic Representation looks at the;

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Natural Language Processing

over the last decade, focusing in particular on the challenges in areas such as knowledge representation, reasoning, planning, and integration;

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Statistical Language and Speech Processing

; information retrieval; knowledge representation and ontologies; lexicons and dictionaries; machine translation; multimodal technologies; natural;

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Statistical Language and Speech Processing

; information retrieval; knowledge representation and ontologies; lexicons and dictionaries; machine translation; multimodal technologies; natural;

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Natural Language Processing & Knowledge Representation - Language for Knowledge & Knowledge for Language (OI)

processing systems. Natural language (NL) refers to human language-complex, irregular, diverse, with all its philosophical problems of meaning and;

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Knowledge Engineering and Knowledge Management

knowledge representation, concerning all aspects of the management and acquisition of knowledge representation of evolving, contextual, and local;

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Planning English Sentences

on a possible-worlds semantics of an intensional logic of knowledge and action, enables him to develop a formal representation of the effects;

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Artificial Intelligence: Research Directions in Cognitive Science

programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major;

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Artificial Intelligence: Research Directions in Cognitive Science

programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major;

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Knowledge Engineering and Semantic Web

This book constitutes the refereed proceedings of the 6th Conference on Knowledge Engineering and the Semantic Web, KESW 2015, held;

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A Knowledge Representation Practionary

machine learning to information integration, data interoperability, and natural language understanding. Knowledge representation is an essential;

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Advances in Artificial Intelligence

satisfaction, data mining, knowledge representation and reasoning, learning, natural language, and planning.;

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Contextual Computing

Recent advances in the fields of knowledge representation, reasoning and human-computer interaction have paved the way for a novel approach;

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Natural Language Understanding and Cognitive Robotics

, and is based on the hypothesis that NLU is essentially the processing of mental image associated with natural language expressions, namely;

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Natural Language Understanding and Cognitive Robotics

traits like natural language understanding (NLU) as the central part of IMU. Mental image directed semantic theory (MIDST) is its core, and;

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