@InProceedings{almiman-ramsay:2017:RANLP1,
  author    = {Almiman, Ali  and  Ramsay, Allan},
  title     = {Using English Dictionaries to generate Commonsense Knowledge in Natural Language},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {58--63},
  abstract  = {This paper presents an approach to generating common sense knowledge written in
	raw English sentences. Instead of using public contributors to feed this
	source, this system chose to employ expert linguistics decisions by using
	definitions from English dictionaries. Because the definitions in English
	dictionaries are not prepared to be transformed into inference rules, some
	preprocessing steps were taken to turn each relation of word:definition in
	dictionaries into an inference rule in the form left-hand side $\Rightarrow$
	right-hand side. In this paper, we applied this mechanism using two
	dictionaries: The MacMillan Dictionary and WordNet definitions. A random set of
	200 inference rules were extracted equally from the two dictionaries, and then
	we used human judgment as to whether these rules are `True' or not. For the
	MacMillan Dictionary the precision reaches 0.74 with 0.508 recall, and the
	WordNet definitions resulted in 0.73 precision with 0.09 recall.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_009}
}