@InProceedings{guggilla:2016:CogALex-V,
  author    = {Guggilla, Chinnappa},
  title     = {CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks},
  booktitle = {Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {104--109},
  abstract  = {In this paper, we describe a system (CGSRC) for classifying four semantic
	relations: synonym, hypernym, antonym and meronym using convolutional neural
	networks (CNN). We have participated in CogALex-V semantic shared task of
	corpus-based identification of semantic relations. Proposed approach using
	CNN-based deep neural networks leveraging pre-compiled word2vec distributional
	neural embeddings achieved 43.15\% weighted-F1 accuracy on subtask-1 (checking
	existence of a relation between two terms) and 25.24\% weighted-F1 accuracy on
	subtask-2 (classifying relation types).},
  url       = {http://aclweb.org/anthology/W16-5314}
}