Semantics Beats Syntax

IBM, Google, and Microsoft all are poised to release semantic engines (algorithms using the meaning of words) to supplement their current syntax engines (using the spelling of words). Their common goal is to extend their natural language processing capabilities into engines that rival human semantic...

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Bibliographic Details
Published in:Communications of the ACM 2021-08, Vol.64 (8), p.14
Main Author: Johnson, R Colin
Format: Magazinearticle
Language:English
Subjects:
Algorithms
Engines
Natural language processing
Neural networks
Semantics
Sentences
Syntax
Words (language)
Online Access:Get full text
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Summary:IBM, Google, and Microsoft all are poised to release semantic engines (algorithms using the meaning of words) to supplement their current syntax engines (using the spelling of words). Their common goal is to extend their natural language processing capabilities into engines that rival human semantics (our understanding of what language, words/sentences, mean). For its semantic engine, IBM chose to augment neural networks with symbolic logic, reducing the number of examples it requires to learn. Said Forrester Research principal analyst Kjell Carlsson, "IBM's semantics uses a much more efficient encoding of knowledge, enabling high performing enterprise use-cases to be built with significantly smaller training examples." Google and Microsoft have both released free test versions of their semantic transformers.
ISSN:0001-0782
1557-7317