Prafulla Kumar Choubey

I'm a doctoral student in Natural Language Processing Group at Texas A&M University, College Station. I am advised by Dr. Ruihong Huang. In 2014, I got my bachelor's degree in Electrical Engineering from Indian Institute of Technology (IIT) Roorkee. Prior to joining TAMU in fall 2016, I worked at Samsung Research & Development India- Bangalore. I enjoy doing research in natural language processing and deep learning.

Research Interests

  • Information Extraction (Event Extraction, Event Relations- Coreference, Causal, Temporal)
  • Natural Language Understanding (understanding specific role of Events)
  • Neural Networks (in particular Recurrent Neural Networks)
  • Machine Learning (Ensemble based Classifiers)

Publications (Scholar)

To Appear

  • Prafulla Kumar Choubey and Ruihong Huang, Event Coreference Resolution by Iteratively Unfolding Inter-dependencies among Events in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017). [pdf]
  • Prafulla Kumar Choubey and Ruihong Huang, A Sequential Model for Classifying Temporal Relations between Intra-Sentence Events in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017). [pdf]

Published

  • Prafulla Kumar Choubey and Shubham Pateria, Garuda & Bhasha at SemEval-2016 Task 11: Complex Word Identification Using Aggregated Learning Models in Proceedings of the International Workshop on Semantic Evaluation (SemEval 2016). [pdf]
  • Shubham Pateria and Prafulla Kumar Choubey, AKTSKI at SemEval-2016 Task 5: Aspect Based Sentiment Analysis for Consumer Reviews in Proceedings of the 2016 International Workshop on Semantic Evaluation (SemEval 2016). [pdf]
  • Prafulla Kumar Choubey, Ashish K Singh, Raghu B Bankapur, Vaisakh P C SB and Manoj Prabhu B, Content aware targetted image manipulation to reduce power consumption in OLED panels in Proceedings of the 2015 IEEE Eighth International Conference on Contemporary Computing (IC3 2015). [pdf]
  • Prafulla Kumar Choubey, Shubham Pateria, Aseem Saxena, Vaisakh P C SB, Krishna Jha and Sharana B PM, Power efficient bandwidth optimized and fault tolerant sensor management for IOT in Smart Home in Proceedings of the 2015 IEEE International Advance Computing Conference (IACC 2015). [pdf]

Selected Honors & Awards

  • Employee of Month (June 2015), Samsung R&D India Bangalore
  • Certificate of merit (National top 1% in National Standard Examination in Physics 2009-'10), Indian Association of Physics Teachers
  • Certificate of merit (National top 0.1% in Mathematics 2008), All India Senior Secondary Examination
  • Certificate of merit (All India Rank 4 in International Olympiad of Mathematics 2008), Mathematics Olympiad Foundation

Professional Experience

  • Senior Software Engineer (March 2016- August 2016), Samsung R&D India Bangalore
  • Software Engineer (July 2014- February 2016), Samsung R&D India Bangalore
  • Internship (May 2013- July 2013), Samsung R&D India Bangalore

Services

  • Reviewer: IEEE Journal of Display Technology (2015-16)
  • Reviewer: 2015 IEEE Symposium on Ensemble Networks and Software Engineering (SENSE 2015)

Misc.


(email: prafulla.choubey@tamu.edu)
© 2017 Prafulla Choubey