Method, device, device and storage medium for generating question sentence semantic parsing rule template

A technology for semantic parsing and question sentences, which is applied in the field of semantic parsing to achieve the effect of improving generalization ability, improving accuracy and improving accuracy.

Active Publication Date: 2020-12-25
杭州摸象大数据科技有限公司
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Problems solved by technology

The present invention automatically excavates high-quality rule matching templates from the online question database, and generates a rule template with high generalization power and high resolution accuracy through automatic strategies, thereby solving the existing online problem from the root. question parsing problem

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  • Method, device, device and storage medium for generating question sentence semantic parsing rule template
  • Method, device, device and storage medium for generating question sentence semantic parsing rule template
  • Method, device, device and storage medium for generating question sentence semantic parsing rule template

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Embodiment Construction

[0064] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0065] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0066] The present invention will be further described below i...

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Abstract

The invention provides a method, device, device and storage medium for generating a question semantic analysis rule template. The method includes: collecting online question sentences, performing word segmentation, part of speech and word pinyin recognition for each said question sentence; counting the number of words Word frequency, based on the word frequency and part of speech, determine the list of important words, determine the percentage position information and variance in the current question for each word in the list of important words; traverse each online question, generate based on the list of important words A generalization rule template; screening the generalization rule template based on generalization capability to obtain a first filtering rule template; screening the first filtering rule template based on matching accuracy to obtain a question sentence semantic analysis rule template. The present invention automatically excavates high-quality rule matching templates from the online question database, and generates a rule template with high generalization power and high resolution accuracy through automatic strategies, thereby solving the existing online problem from the root. Question parsing questions.

Description

technical field [0001] The invention belongs to the technical field of semantic analysis, and in particular relates to a generation method, device, equipment and storage medium of a question sentence semantic analysis rule template. Background technique [0002] There are three common scenarios for human-computer dialogue systems, namely: chatbot (Chatbot), question-and-answer (QA), and task-based (VPA). Parsing user questions into standard questions in the library is suitable for closed-domain question answering in QA systems. In a voice intelligent dialogue system, the correct understanding of questions is crucial to the fluency of the entire dialogue interaction. However, phone voice, the diversity of user semantic expression, colloquialism, unclear enunciation, noise factors, or dialects and other factors may cause wrong words in voice-to-text conversion, which further leads to inaccurate understanding of questions. [0003] In view of the above situation, the current ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06F16/33G06F16/35G06F40/30
CPCG06F16/3329G06F16/3344G06F16/35G06F40/30
Inventor 高鹏康维鹏周伟华潘晶袁兰高峰
Owner 杭州摸象大数据科技有限公司
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