Event Extraction from Bio-Medical Documents.

Date of Submission

December 2017

Date of Award

Winter 12-12-2018

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Master's Dissertation

Degree Name

Master of Technology

Subject Name

Computer Science


Computer Vision and Pattern Recognition Unit (CVPR-Kolkata)


Garain, Utpal (CVPR-Kolkata; ISI)

Abstract (Summary of the Work)

With the ever increasing quantity of scientific literature in the Bio-medical domain, it has become a crucial task to build such intelligent automated systems, that can understand the deep hidden meaning underlying texts, and can adapt to new knowledge based discoveries in the literature. Natural Language Processing is the best approach towards this task. In this project, we try to build such a system to extract knowledge from scholary articles of Cancer Genetics for the Event Extraction shared task organized by the BioNLP community in 2013. With the help of distributed vector representations of words to capture the semantic informations of words, and the Recurrent Neural Networks to capture the contextual informations of sequential data, we propose a pipelined system of two models for the Cancer Genetics Event Extraction task.


ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843193

Control Number


Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.



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