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DOI: 10.14569/IJACSA.2017.081220
PDF

Bio-NER: Biomedical Named Entity Recognition using Rule-Based and Statistical Learners

Author 1: Pir Dino Soomro
Author 2: Sanotsh Kumar
Author 3: Banbhrani
Author 4: Arsalan Ali Shaikh
Author 5: Hans Raj

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 12, 2017.

  • Abstract and Keywords
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Abstract: The purpose of extracting of Bio-Medical Entities is to recognize the particular entities, whether word or phrases, from the unstructured data contained in the text. This work proposes different approaches and methods, i.e. Machine Learning Hybrid Classification, Rule Based Non-tested Generalized Exemplars and Partial Decision Tree (PART) Learners for Bio-Medical Named Entity Recognition. The Prime objective is to consider, preferably, simple characteristics, such as, affixes and context. In addition, orthographic, Parts of Speech (POS) tags and N-grams are given secondary importance as for as their comparison with affixes and context is concerned. Further, for the very purpose of Bio-medical Diseased Named Recognition, proposal of Rule Based Classifiers along with the Statistical Machine Learning is given. Also, this paper proposes the blend of both preceding methods that jointly construct Hybrid Classification algorithm. Precision, Recall and F-measure – standard metrics- has been put into practice for the evaluation. The results prove that the technique used has far better performance results than the method used before - state-of-art Disease NER (Named Entity Recognition).

Keywords: Bio-medical text mining; machine learning; named entity recognition; naive bayesian; rule-based classifier; information extraction

Pir Dino Soomro, Sanotsh Kumar, Banbhrani, Arsalan Ali Shaikh and Hans Raj, “Bio-NER: Biomedical Named Entity Recognition using Rule-Based and Statistical Learners” International Journal of Advanced Computer Science and Applications(IJACSA), 8(12), 2017. http://dx.doi.org/10.14569/IJACSA.2017.081220

@article{Soomro2017,
title = {Bio-NER: Biomedical Named Entity Recognition using Rule-Based and Statistical Learners},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.081220},
url = {http://dx.doi.org/10.14569/IJACSA.2017.081220},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {12},
author = {Pir Dino Soomro and Sanotsh Kumar and Banbhrani and Arsalan Ali Shaikh and Hans Raj}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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