Text information processing method and related device

Abstract

The invention discloses a text information processing method and a related device, for improving a pronoun anaphora resolution effect. The text information processing method comprises the steps of determining a first pronoun and a first antecedent in a to-be-processed text; determining a first vector representation value of the to-be-processed text, wherein the first vector representation value isused for representing semantic information of the to-be-processed text; determining a first semantic feature vector corresponding to the first pronoun and the first antecedent; obtaining a first vector representation value and an anaphora prediction result corresponding to the first semantic feature vector through an anaphora prediction model; and if the anaphora prediction result is that an anaphora relationship exists between the first pronoun and the first antecedent, replacing the first pronoun in the to-be-processed text with the first antecedent to obtain a processed text. According tothe text information processing method, on the basis of considering the semantic features between the pronoun and the antecedent, the context semantic information of the pronoun is also fused, so thatthe recognition rate of the anaphora can be effectively improved, and the anaphora resolution effect of the pronoun is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a text information processing method and related devices. Background technique [0002] With the rapid development of computer technology and the Internet, all kinds of information have exploded, and people's demand for accurate processing of information has promoted the development of natural language processing technology. For most text information, there is usually a phenomenon that a large number of pronouns are used in the text information to refer to the subject of the text information. Among them, reference is a common expression in natural language. In order to avoid repetition, people are accustomed to using pronouns, titles and abbreviations to refer to the aforementioned subjects, so as to make the language concise and coherent. However, a large number of references increases the difficulty of natural language processing. Therefore, it is necessary to iden...

AI Technical Summary

Problems solved by technology

[0004] However, the effect of extracting feature information from two independent words for anaphora resolution is poor, especially when the antecedent word entity...

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