Recognizing Named Entities in Agriculture Documents using LDA based Topic Modelling Techniques

Author:

Gangadharan Veena,Gupta Deepa

Publisher

Elsevier BV

Subject

General Engineering

Reference20 articles.

1. Trond Grenager Jenny Rose Finkel and Christopher Manning. Incorporating non-local information into information extraction systems by gibbs sampling. Proceedings of the 43nd Annual Meeting of the Association for Computational Linguistics (ACL 2005), pp. 363-370.

2. A deep learning-based named entity recognition in biomedical domain;Soman;Lecture Notes in Electrical Engineering, Springer Verlag,2018

3. Fousiya Anand Kumar Soman K.P Prasad, Gowri. Named entity recognition for malayalam language: A crf based approach. Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on, IEEE, Chennai.

4. http://aims.fao.org. URL http://aims.fao.org/vest-registry/vocabularies/agrovoc.

5. Kaushik N Chatterjee N. Rent: regular expression and nlp-based term extraction scheme for agricultural domain. Proceedings of the international conference on data engineering and communication technology 2017.

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