@InProceedings{goel-singh:2017:LSDSem,
  author    = {Goel, Pranav  and  Singh, Anil Kumar},
  title     = {IIT (BHU): System Description for LSDSem'17 Shared Task},
  booktitle = {Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {81--86},
  abstract  = {This paper describes an ensemble system submitted as part of the LSDSem Shared
	Task 2017 - the Story Cloze Test. The main conclusion from our results is that
	an approach based on semantic similarity alone may not be enough for this task.
	We test various approaches and compare them with two ensemble systems. One is
	based on voting and the other on logistic regression based classifier. Our
	final system is able to outperform the previous state of the art for the Story
	Cloze test. Another very interesting observation is the performance of 
	sentiment based approach which works almost as well on its own as our final
	ensemble system.},
  url       = {http://aclweb.org/anthology/W17-0912}
}