Apparatus and method for applying image code recognition in natural language processing

A technology of natural language processing and image coding, applied in neural learning methods, character and pattern recognition, semantic analysis, etc. The effect of classification accuracy

Active Publication Date: 2020-08-21
HONG KONG APPLIED SCI & TECH RES INST
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  • Abstract
  • Description
  • Claims
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These types of analyzes are language-specific and cannot be generalized to diffe

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  • Apparatus and method for applying image code recognition in natural language processing
  • Apparatus and method for applying image code recognition in natural language processing
  • Apparatus and method for applying image code recognition in natural language processing

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Embodiment Construction

[0021] In the following description, a method and apparatus for applying image code recognition to process natural language processing (NLP) tasks are illustrated as a preferred example. It will be apparent to those skilled in the art that modifications including additions and / or substitutions can be made without departing from the scope and spirit of the present invention. Certain specific details have been omitted so as not to obscure the invention. The present disclosure, however, is intended to enable those skilled in the art to practice the teachings of the invention without undue experimentation.

[0022] figure 1 A simplified logical structure and a data flow diagram of a method for applying image coding recognition to processing NLP tasks by the NLP-based recognition system 100 according to various embodiments of the present invention are shown. The NLP-based recognition system 100 includes a feature extractor 110, a converter 120, a modifier 130 and a processor 140 ...

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Abstract

A method for applying image coding recognition in performing a natural language processing (NLP) task includes the following processing steps. Sentence from a text source is extracted by an NLP-basedfeature extractor. An NLP-based feature extractor generates word vectors from the sentences. The word vector is converted into a feature vector by an NLP-based feature extractor, wherein the feature vector satisfies the condition that the parameter m is a positive integer. A converter converts the feature vector into an image set having a plurality of two-dimensional images. The image set is fed to a neural network, and image recognition is performed by a processor to analyze sentences.

Description

technical field [0001] The invention relates to the field of natural language processing (Natural Language Process, NLP), in particular to the technology of applying image coding recognition to process NLP tasks. Background technique [0002] Natural Language Processing (NLP) is a technology used to help computers analyze, understand and derive the meaning of human language in an intelligent and useful way. NLP has become an important research topic in recent years. The application of NLP can help people process a large number of electronic documents, including retrieving comments, news reports, etc., and can interact with humans, such as through electronic personal assistants and social chatbots. Yes, most NLP applications are related to information retrieval, automatic article summarization, and polarity analysis (such as positive / negative classification). [0003] Machine learning has recently contributed a lot to NLP technology. Machine learning is able to generalize ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G06F40/30
CPCG06N3/08G06F40/30G06N3/045G06N3/044G06F18/24
Inventor 吴裕强刘扬雷志斌
Owner HONG KONG APPLIED SCI & TECH RES INST
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