Text information processing method and device, electronic equipment and storage medium

Abstract

The invention provides a text information processing method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining to-be-processed text information; performing word segmentation processing on the to-be-processed text information, and determining at least one candidate keyword vector; dynamically adjusting the candidate keyword vector to form a candidate keyword vector set, and determining a keyword extraction strategy matched with the to-be-processed text information based on the candidate keyword vector set and reward value parameters through a deep reinforcement learning network; and extracting the candidate keyword vector set based on the keyword extraction strategy to obtain at least one keyword vector as a keyword of the to-be-processed text information. Therefore, the dependence on word granularity in keyword extraction is reduced, the extracted keyword of the to-be-processed text information is enabled to be suitable for different use scenes, and the user experience is improved.

Description

technical field [0001] The present invention relates to information processing technology, in particular to text information processing method, device, electronic equipment and storage medium. Background technique [0002] With the development of machine learning technology, machine learning can answer users' questions through artificial intelligence. Among them, the understanding of text information query is the core technology in the field of NLP such as question answering engine and dialogue system, so as to understand users' requests more accurately. , the system can better give the corresponding answer. Query is usually a piece of text or a sentence obtained after speech recognition, but for multiple rounds of question and answer common "context-free", "repeated question", "default follow-up", "reference question" and other contexts Context type, related technologies cannot accurately identify the context type, which affects the processing of text information by artifi...

AI Technical Summary

Problems solved by technology

Query is usually a piece of text or a sentence obtained after speech recognition, but for multiple rounds of question and answer common "context-free", "repeated question", "default follow-up", "reference question" and other contexts Context type, related technologies cannot accurately identify the context type, which affects the processing of text information by artificial intelligence, resulting in poor accuracy of processing results

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