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Method and system for intention recognition based on context

A context and intent technology, applied in the field of context-based intent recognition, can solve problems such as prediction errors, affecting the quality of training data, and different results

Active Publication Date: 2015-09-30
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, when manually annotating the training corpus, it is impossible to distinguish the real intentions of users in many questions, resulting in different annotation results by different people, thus affecting the quality of training data
On the other hand, the trained model will always have the same prediction intention for the same words, and will not change according to different contexts, resulting in prediction errors

Method used

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Embodiment Construction

[0025] Embodiments of the present invention disclose a method and system for recognizing intent based on context. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the invention. It will be apparent, however, to one skilled in the art that embodiments of the invention may be practiced without these specific details.

[0026] The term "machine learning" as used herein is the science of artificial intelligence, the field whose main object of study is artificial intelligence, especially how to improve the performance of specific algorithms during empirical learning. Common machine learning methods can be divided into supervised learning, semi-supervised learning and unsupervised learning.

[0027] The term "supervised learning" as used herein refers to learning a function from a given training data set from which outcomes can be predicted when new data arrives. The tr...

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Abstract

The invention discloses a method and system for intention recognition based on a context. The method comprises the steps of carrying out manual annotation on problems provided by a user and included in a user historical consulting log on the basis of the user historical consulting log; extracting features of each problem to generate a training corpus; carrying out model training on the generated training corpuses according to a supervised learning algorithm to obtain a training model; estimating the current problems and obtaining an estimated user intention recognition result on the basis of the obtained training model.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a method and system for recognizing intentions based on context. Background technique [0002] Intent recognition is the recognition of the intent of a behavior. For example, in a question-and-answer dialogue, each sentence of the questioner has a certain intention, and the respondent responds according to the intention of the other party. [0003] Related questions are widely used in search engines, chat robots and other scenarios. Especially in chatbots, intent recognition is the core module of the entire system. When answering the user's question, it is to analyze the user's intention and give the corresponding answer after understanding what the user wants to ask. [0004] The method of intent recognition in the prior art is mainly to obtain a batch of data, and then manually mark the intent of each piece of data, so as to obtain training data. The model is ...

Claims

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Application Information

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IPC IPC(8): G06F17/27
Inventor 刘佳俞晓光
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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