@InProceedings{sarkar-das-pakray:2017:I17-4,
  author    = {Sarkar, Sandip  and  Das, Dipankar  and  Pakray, Partha},
  title     = {JU NITM at IJCNLP-2017 Task 5: A Classification Approach for Answer Selection in Multi-choice Question Answering System},
  booktitle = {Proceedings of the IJCNLP 2017, Shared Tasks},
  month     = {December},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {213--216},
  abstract  = {This paper describes the participation of the JU NITM team in IJCNLP-2017 Task
	5: ”Multi-choice Question Answering in Examinations”. The main aim of this
	shared task is to choose the correct option for each multi-choice question. Our
	proposed model includes vector representations as feature and machine learning
	for classification. At first we represent question and answer in vector space
	and after that find the cosine similarity between those two vectors. Finally we
	apply classification approach to find the correct answer. Our system was only
	developed for the English language, and it obtained an accuracy of 40.07% for
	test dataset and 40.06% for valid dataset.},
  url       = {http://www.aclweb.org/anthology/I17-4036}
}