@InProceedings{park-myaeng:2017:I17-1,
  author    = {Park, Joohee  and  Myaeng, Sung-Hyon},
  title     = {A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {214--223},
  abstract  = {A distributed representation has become a popular approach to capturing a word
	meaning. Besides its success and practical value, however, questions arise
	about the
	relationships between a true word meaning and its distributed representation. 
	In this paper, we examine such a relationship via polymodal embedding approach
	inspired by the theory that humans tend to use diverse sources in developing a
	word meaning. The result suggests that the existing embeddings lack in
	capturing certain aspects of word meanings which can be significantly improved
	by the polymodal approach. Also, we show distinct characteristics of different
	types of words (e.g. concreteness) via computational studies. Finally, we show
	our proposed embedding method outperforms the baselines in the word similarity
	measure tasks and the hypernym prediction tasks.},
  url       = {http://www.aclweb.org/anthology/I17-1022}
}