@InProceedings{thorat-choudhari:2016:COLING,
  author    = {Thorat, Sushrut  and  Choudhari, Varad},
  title     = {Implementing a Reverse Dictionary, based on word definitions, using a Node-Graph Architecture},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {2797--2806},
  abstract  = {In this paper, we outline an approach to build graph-based reverse dictionaries
	using word definitions. A reverse dictionary takes a phrase as an input and
	outputs a list of words semantically similar to that phrase. It is a solution
	to the Tip-of-the-Tongue problem. We use a distance-based similarity measure,
	computed on a graph, to assess the similarity between a word and the input
	phrase. We compare the performance of our approach with the Onelook Reverse
	Dictionary and a distributional semantics method based on word2vec, and show
	that our approach is much better than the distributional semantics method, and
	as good as Onelook, on a 3k lexicon. This simple approach sets a new
	performance baseline for reverse dictionaries.},
  url       = {http://aclweb.org/anthology/C16-1263}
}