Intellectual property intelligent service method and system

Abstract

The invention discloses an intellectual property intelligent service method and system, and the method specifically comprises the steps: extracting a word vector from an input text of a user through amachine learning algorithm, and carrying out the entity labeling of the word vector; wherein the labeling result and the user intention form an association pair; and carrying out data training on theuser intention classification system by using a plurality of association pairs generated by manual judgment as a training data set, and generating a prediction model. The classification system specifically comprises: word vector extraction and entity recognition are conducted on user intentions, and the user intentions are distributed to different semantic processing systems for specific processing. According to the method, the input text processing problem in a composite user demand environment is solved, the input text of the user is distributed to different semantic processing systems through intention classification, optimal feedback is made, and the feedback accuracy is effectively improved.

Description

technical field [0001] The invention relates to the field of natural language processing, in particular to an intellectual property service method and system based on a machine learning algorithm. Background technique [0002] In order to improve work efficiency and intelligence, in more and more fields, artificial intelligence is used to understand and give feedback on human natural language. Especially with the continuous innovation of machine learning algorithms, significant progress has been made in the processing and understanding of natural language, especially the natural language processing constructed by using recurrent neural network (RNN), which takes into account the contextual connection of text, and is more in line with Human language habits have made considerable progress in various application scenarios such as machine translation. [0003] Intelligent chatbots are constructed based on machine learning and natural language processing algorithms. Among them,...

AI Technical Summary

Problems solved by technology

In basic communication scenarios, it consumes a lot of time for intellectual property service agencies and increases operating costs

In addition, since the intellectual property industry is an interdisciplinary subject of science and technology and law, and involves a wide range of subjects, service personnel will inevitably lack knowledge and cannot give customers the fastest and most accurate answers in a timely manner

[0005] There are the following difficulties in applying chatbots to the field of intellectual property services: (1) Users usually do not have the basic knowledge of intellectual property rights, and the questions raised are usually semantically vague and cannot be accurately mapped to the corresponding entity concepts, and intellectual property rights belong to legal and technological Most of the problems are relatively in-depth, and the training methods of ordinary daily dialogue robots cannot meet the application requirements of intellectual property service scenarios; (2) Different application scenarios require users to focus on different communication. It is necessary to reply with as detailed an explanation as possible, and in the service guidance scenario, it is necessary to guide the user to the intellectual property service provider as briefly as possible; (3) In different application scenarios, there are overlapping requirements, for example, in the consulting scenario, the user May need to move to service bootstrap scenario after conceptual confusion is resolved

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