Knowledge inference method applied to intelligent robot interaction

An intelligent robot, knowledge reasoning technology, applied in reasoning methods, special data processing applications, instruments, etc., can solve problems such as inaccuracy, irrelevance, loose relationship, etc.

Inactive Publication Date: 2018-11-06
北京玄一科技有限公司
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AI Technical Summary

Problems solved by technology

In this example, the relationship between the four corpora is relatively loose, so when using the knowledge reasoning method based on statistics to infer the answer

Method used

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  • Knowledge inference method applied to intelligent robot interaction
  • Knowledge inference method applied to intelligent robot interaction
  • Knowledge inference method applied to intelligent robot interaction

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Embodiment Construction

[0068] The embodiments of the present application are described in detail below.

[0069] Memory networks (MemNN for short) is a kind of deep learning model, including memory module (memory), and 4 components I, G, O, R. Please combine figure 1 , the memory module is an array of objects (an array indexed by mi and ci, where i is the index number of the input information in the memory module); component I is used to convert the input information (Sentences) into internal feature representations in the memory network; Component G is used to update the memory module with input information; component O is used to extract the appropriate memory from the memory module according to the given new input information (Question q), and return an output vector (o); component R is used to Convert the output vector back to the desired format, such as text or predicted answer (PredictedAnswer), etc. Before using the memory network, it needs to use the corpus to train the model to calculate ...

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Abstract

The embodiment of the present invention discloses a knowledge inference method applied to intelligent robot interaction, which comprises the following steps: acquiring a problem text and an inferencecorpus, wherein the inference corpus comprises unstructured information and triplet information; storing the unstructured information and the triplet information into a first memory module and a second memory module; calculating the correlation of the problem text with the unstructured information and the triplet information in the first memory module; performing weighted summation on the unstructured information and the triplet information in the second memory module and the correlation, and obtaining an output value; and generating an answer according to the output value. According to the aforementioned scheme, the scattered unstructured information and the structured triplet information are introduced and used as input information of the memory network to jointly infer the answer of thequestion, thereby giving a more accurate and satisfactory answer.

Description

technical field [0001] The invention relates to the field of intelligent question answering and knowledge reasoning, in particular to a knowledge reasoning method and device applied to intelligent robot interaction. Background technique [0002] In the field of intelligent question answering, not all questions can be answered using existing knowledge bases. This is mainly due to the limited coverage of the knowledge base itself. Specifically, the information contained in the corpus includes two parts, one part is the information directly expressed by itself, and the other part is the implicit information. When building a knowledge base, most of the information directly expressed by the corpus is encoded and included in the knowledge base, while most of the implicit information is not encoded and included. Therefore, when the concepts and facts involved in the question have not been included in the knowledge base, a more accurate answer cannot be obtained. [0003] Knowled...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06N5/04
CPCG06N5/04
Inventor 杨凯程蒋宏飞
Owner 北京玄一科技有限公司
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