基于分向卷积神经网络的特征提取模型_OpenScirbe Publishing

Online Submission Pre-typesetting Academic Support

Home > Wen Yuan (Primary School Edition) > 2020 No.05 > 基于分向卷积神经网络的特征提取模型

基于分向卷积神经网络的特征提取模型

Author(s)：
于铭汐

Publication Title：

Wen Yuan (Primary School Edition) 2020 No.05

Affiliations：
辽宁科技大学辽宁鞍山 114000

Abstract：
文字语言的多样性随着信息时代的快速发展被不断彰显.词语词性、词语指代等在复杂的网络环境中以差异化特征非独立存在.明确文字表达,分析词语指代是本文研究的重点.传统针对短文本或句子的消歧模型能满足简单的信息提取,文本翻译等浅层任务.本文以词性表达、语义指代、特征分析逐层剖析被选词语.通过机器学习理论结合神经网络运用,分别以向量化指代分析模型优化传统词向量生成;以指代特征提取模型优化特征向量提取.

Keywords：

Views
5

Citations
0

Downloads
0

Favorites
0

Full Text

Download PDF

Cite

Favorited

Favorite

Share via WeChat

Scan to share on WeChat

Mobile Reading

Scan to read on mobile

Cite

Copy

[1] 于铭汐.基于分向卷积神经网络的特征提取模型[J].Wen Yuan (Primary School Edition),2020(05),.

文渊(小学版)

Wen Yuan (Primary School Edition)

Language: 中文

CN：11-9274/G

ISSN：2096-6261

Publication Frequency: 月刊

Recommended Articles

Friendship Link

An academic processing and support platform focusing on journal databases, submission and review, and pre-typesetting.

OpenScirbe Publishing: Pre-typesetting; Article Retrieval

News: Latest news; Industry news

Academic Support: Language editing; Translation; International dissemination

Journal: Wen Yuan (Primary School Edition); Wen Yuan (Middle School Edition); Wen Yuan (High School Edition); Urban and Rural Studies

Contact Us

027-59496650

Office

Room 510, Office Tower, Optics Valley Financial Center, 668 Gaoxin Avenue, Donghu New Technology Development Zone, Wuhan, Hubei Province

User Agreement Privacy Policy

鄂ICP备2026003587号-1 copyright 2026 All rights reserved. Tel:027-59496650 鄂公网安备42018502009073号