978-620-0-24213-6

Soft Computing: Collective information extraction

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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