Method for training keyword extraction model, keyword extraction method, and computer device

This application provides a keyword extraction method. The method includes: receiving an information entity including a title and a text; performing word segmentation on the text, to obtain a plurality of candidate words; and performing character segmentation on the title corresponding to semantics...

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Bibliographic Details
Main Authors Kang, Lie, Zheng, Wenhao, Yan, Qiang
Format Patent
LanguageEnglish
Published 02.04.2024
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:This application provides a keyword extraction method. The method includes: receiving an information entity including a title and a text; performing word segmentation on the text, to obtain a plurality of candidate words; and performing character segmentation on the title corresponding to semantics of the text, to obtain a plurality of characters; sequentially inputting the plurality of candidate words to a keyword extraction model, to obtain an attention weight of each candidate word relative to each character; selecting, from the plurality of candidate words, a candidate word that appears in the title; determining an extraction threshold according to an attention weight of the selected candidate word relative to each character; and determining a keyword of the text of the information entity from the candidate words according to the extraction threshold. This application further provide a method for training a keyword extraction model, a computer device, and a storage medium.
Bibliography:Application Number: US202117183218