@InProceedings{gamallo-pereirafarina:2017:SENSE2017,
  author    = {Gamallo, Pablo  and  Pereira-Fari\~{n}a, Mart\'{i}n},
  title     = {Compositional Semantics using Feature-Based Models from WordNet},
  booktitle = {Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {1--11},
  abstract  = {This article describes a method to build semantic representations of composite
	expressions in a compositional way by using WordNet relations to represent the
	meaning of words. The meaning of a target word is modelled as a vector in which
	its semantically related words are assigned weights according to both the type
	of the relationship and the distance to the target word. Word vectors are
	compositionally combined by syntactic dependencies. Each syntactic dependency
	triggers two complementary compositional functions: the named head function and
	 dependent function. The experiments show that the proposed compositional
	method outperforms the state-of-the-art for both intransitive subject-verb and
	transitive subject-verb-object constructions.},
  url       = {http://www.aclweb.org/anthology/W17-1901}
}