Summary:
This book introduces Relational Markov Networks (RMN’s) for Collective Information Extraction. Also, an attempt has been made to improve the performance of Relational Markov Network using Approximate Inference Procedure such as Gibbs Sampling for Collective Information Extraction. Gibbs Sampling has been used for making the performance of LT-RMN’s better than CRF’s for Collective Information Extraction.
Author:
Gagan Deep
Biographie:
Prof (Dr.) Gagan D. Jindal-Professor at the Department of Computer Science & Engineering, Chandigarh Engineering College, Landran (Mohali), Punjab, India.
Author:
Savita Gupta
Biographie:
Author:
Lakhwinder Kaur
Biographie:
Number of Pages:
76
Book language:
English
Published On:
2019-07-25
ISBN:
978-620-0-24213-6
Publishing House:
LAP LAMBERT Academic Publishing
Keywords:
IE, CRF, RMN, Gibbs Sampling
Product category:
SCIENCE / Earth Sciences