A Novel Chinese Entity Relationship Extraction Method Based on the Bidirectional Maximum Entropy Markov Model | Zendy

Chengyao Lv | Zendy; Deng Pan | Zendy; Yaxiong Li | Zendy; Jianxin Li | Zendy; Zong Wang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A Novel Chinese Entity Relationship Extraction Method Based on the Bidirectional Maximum Entropy Markov Model

Author(s) -

Chengyao Lv,

Deng Pan,

Yaxiong Li,

Jianxin Li,

Zong Wang

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/6610965

Subject(s) - maximum entropy markov model , principle of maximum entropy , markov chain , computer science , markov model , entropy (arrow of time) , extraction (chemistry) , mathematics , artificial intelligence , variable order markov model , machine learning , chromatography , thermodynamics , chemistry , physics

School of Foreign Languages, China University of Geosciences, Wuhan 430074, China School of Foreign Languages, Hubei University of Science and Technology, Xianning 437000, China Information Centre, Hubei University of Science and Technology, Xianning 437000, China School of Information Technology, Deakin University, Geelong VIC3220, Australia School of Public Administration, China University of Geosciences, Wuhan 430074, China

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research