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Dual-attention natural language reasoning based on situational awareness

A natural language and context-aware technology, applied in the field of deep learning and natural language understanding, can solve problems such as lack of accurate understanding of sentence semantics and failure to use sentence context information

Active Publication Date: 2019-02-15
UNIV OF SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

[0008] The above-mentioned natural language reasoning methods all focus on mining the information of the sentence itself. Under actual conditions, the same sentence can express different meanings according to different situations. These methods do not use the context information of the sentence, so they lack the ability to understand the sentence Accurate understanding of semantics

Method used

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  • Dual-attention natural language reasoning based on situational awareness

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Embodiment Construction

[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0020] Embodiments of the present invention provide a context-aware dual attention natural language reasoning method, such as figure 1 As shown, it mainly includes:

[0021] Step 11: Acquire an image with heterogeneous data and a corresponding natural language sentence pair containing context information.

[0022] In the embodiment of the present invention, the heterogeneous data of each sample includes: a natural language premise sentence, a natural lan...

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Abstract

The invention discloses a dual-attention natural language inference method with context perception, for natural language sentence pairs with contextual information, using the method of multimodal learning and attention mechanism, take full advantage of that text, In order to understand the semantics of sentences and the interaction between two sentences under such semantics, and then to judge whether there is an inference relationship between two sentences, a method of sentence semantic representation is provided, which makes up for the shortcomings of the existing methods that do not considerthe situation of sentences.

Description

technical field [0001] The invention relates to the technical field of deep learning and natural language understanding, in particular to a situation-aware dual attention natural language reasoning method. Background technique [0002] Natural Language Inference (NLI) is an important part in the field of natural language understanding. The main problem to be solved is to judge whether the Hypothesis Sentence can be inferred from the Premise Sentence. Therefore, a primary problem to be solved in natural language inference is the understanding of sentence semantics, which helps machines understand multiple expressions of the same meaning by humans; secondly, compared with other problems in the field of natural language understanding, such as dialogue systems, question answering Systems, etc. not only need to understand semantics, but also need to take into account the reliability and stability of the generation process. Natural language understanding focuses on sentence semant...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06N5/04G06N3/04G06N3/08
CPCG06N5/04G06N3/08G06F40/30G06N3/044G06N3/045
Inventor 陈恩红刘淇张琨吕广奕吴乐
Owner UNIV OF SCI & TECH OF CHINA
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