Vector Semantics by Andrs Kornai
This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics.The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use.
In spite of the fact that these two schools both have ‘linguistics’ in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings.-
Self-Regulated Learning
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Quantum Computing from Hopfield Nets
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Advanced Supervised and Semi-supervised Learning
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Image Schemas and Concept Invention
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European Language Equality
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Informed Machine Learning
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Resource-Adaptive Cognitive Processes
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Emotion-Oriented Systems
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Analysis of Rare Categories
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Contextual Computing
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The Language Grid
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Life-Like Characters
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PEACH - Intelligent Interfaces for Museum Visits
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A Construction Manual for Robots' Ethical Systems
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Knowledge Representation and the Semantics of Natural Language
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Qualitative Spatial Abstraction in Reinforcement Learning
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Neural-Symbolic Cognitive Reasoning
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Reactive Kripke Semantics
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Foundations of Rule Learning
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Neural Preprocessing and Control of Reactive Walking Machines
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Robot Cognition and Navigation
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Artificial General Intelligence
Andrü¾Œ–”¼s Kornai is a mathematical linguist. He is a professor in the Department of Algebra of Budapest University of Technology and Economics, Chief Scientist at SecondMind Labs, and a senior research ad-viser at the Hungarian Academy of Sciences Computer and Automation Research Institute. His research interests include all mathematical aspects of natural language processing, speech recognition, and OCR. His homepage is at https: //kornai.com/
| SKU | Unavailable |
| ISBN 13 | 9789811956096 |
| ISBN 10 | 981195609X |
| Title | Vector Semantics |
| Author | Andrs Kornai |
| Series | Cognitive Technologies |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Verlag, Singapore |
| Year published | 2022-12-07 |
| Number of pages | 273 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |