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Application Research of Word Vector in Component Parsing

Published: 25 August 2022 Publication History

Abstract

As we all know, syntactic analysis is one of the classic tasks in the field of natural language processing, and its goal is to analyze the input sentence and obtain the corresponding syntactic structure. The machine idea of ​​syntactic analysis came from the 1950s. Due to the importance of this task in natural language processing, syntactic analysis has become one of the very basic and very important tasks in the field of natural language processing, and this task has not only attracted a large number of the computer experts also attracted a large number of linguists, who made great contributions to the development of syntactic analysis. Since the development of syntactic analysis tasks, this research has made great progress, which has played a positive role in promoting the progress of natural language processing. However, there have always been two difficulties in the task of syntactic analysis: one is the accuracy of the analysis results; the other is the speed of analyzing the input sentences. From rule-based to statistics-based, from word vector models to pre-trained models, every technological innovation has contributed to the development of syntactic analysis tasks. Nonetheless, the heights achieved by the syntactic analysis task have not completely overcome the long-standing challenges of accuracy of results and speed of analysis. Therefore, syntactic analysis still has great value and research significance. This paper will start from three aspects: the development status of component parsing algorithms, the impact of word vector technology on component parsing, and syntactic parsing algorithms.

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  1. Application Research of Word Vector in Component Parsing

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    cover image ACM Other conferences
    ICVARS '22: Proceedings of the 2022 6th International Conference on Virtual and Augmented Reality Simulations
    March 2022
    119 pages
    ISBN:9781450387330
    DOI:10.1145/3546607
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 25 August 2022

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    Author Tags

    1. development status
    2. syntax analysis
    3. syntax analysis algorithm
    4. word vector

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