@InProceedings{qi-zhang-liu:2017:SemEval,
  author    = {Qi, Le  and  Zhang, Yu  and  Liu, Ting},
  title     = {SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {305--309},
  abstract  = {We describe a method of calculating the similarity of questions in community
	QA. Question in cQA are usually very long and there are a lot of useless
	information about calculating the similarity of questions. Therefore,we
	implement a CNN model based on similar and dissimilar information between
	question’s keywords. We extract the keywords of questions, and then model the
	similar and dissimilar information between the keywords, and use the CNN model
	to calculate the similarity.},
  url       = {http://www.aclweb.org/anthology/S17-2049}
}