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Text information identification method, man-machine conversation method and related device

A text information and text technology, applied in the direction of text database query, digital data information retrieval, unstructured text data retrieval, etc., can solve the problems of reducing the accuracy of text information recognition, similarity calculation errors, template conflicts, etc.

Pending Publication Date: 2020-01-21
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, since each problem needs to be restored with a corresponding template, there will be a large number of templates in actual production, which makes conflicts between templates prone to occur, resulting in errors in similarity calculations and reducing the accuracy of text information recognition. Spend

Method used

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  • Text information identification method, man-machine conversation method and related device
  • Text information identification method, man-machine conversation method and related device
  • Text information identification method, man-machine conversation method and related device

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Embodiment Construction

[0092] Embodiments of the present invention provide a method for text information recognition, a method for man-machine dialogue, and a related device, which can reduce the complexity of template matching and reduce text information erroneous recovery, thereby improving the accuracy of text information recognition.

[0093] The terms "first", "second", "third", "fourth", etc. (if present) in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein can, for example, be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "corresponding to", and any variations thereof, are intended to cover non-exclusive inclusion, eg, a process,...

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PUM

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Abstract

The invention discloses a text information identification method. The method comprises the steps of obtaining a text information processing result corresponding to first text information; if the textinformation processing result meets the information recall condition, generating to-be-recognized text information corresponding to the first text information according to second text information, thesecond text information being text information associated with the first text information, and the to-be-recognized text information comprising entity information and intention information; determining an entity type corresponding to the entity information based on the intention template set and the intention information; and generating a text information identification result corresponding to the first text information according to the entity type corresponding to the entity information and the intention information. The invention further discloses a man-machine conversation method and device. According to the method, the complexity of template matching can be reduced, the situation of text information error recovery is reduced, and then the accuracy of text information recognition is improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, and in particular, to a method for text information recognition, a method for man-machine dialogue and related devices. Background technique [0002] Natural Language Understanding (NLU) is commonly known as human-machine dialogue. Human-computer dialogue simulates the process of human language communication through electronic computers, so that computers can understand and use the natural language of human society, and realize natural language communication between humans and machines to replace part of human brain work. NLU technology occupies a very important position in the current wave of new technology revolution. [0003] At present, the human-machine dialogue method is that the machine obtains the problem input by the user, and then uses the template matching method to abstract the template for the content that may appear in the conversation, and then calculates the input text and ...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/33G06F16/35G06F40/295
CPCG06F16/3329G06F16/3344G06F16/35
Inventor 贺铭
Owner TENCENT TECH (SHENZHEN) CO LTD