@InProceedings{santos-EtAl:2016:CogALex-V,
  author    = {Santos, Vivian  and  Huerliman, Manuela  and  Davis, Brian  and  Handschuh, Siegfried  and  Freitas, Andr\'{e}},
  title     = {Semantic Relation Classification: Task Formalisation and Refinement},
  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     = {30--39},
  abstract  = {The identification of semantic relations between terms within texts is a
	fundamental task in Natural Language Processing which can support applications
	requiring a lightweight semantic interpretation model. Currently, semantic
	relation classification concentrates on relations which are evaluated over
	open-domain data. This work provides a critique on the set of abstract
	relations
	used for semantic relation classification with regard to their ability to
	express relationships between terms which are found in a domain-specific
	corpora. Based on this analysis, this work proposes an alternative semantic
	relation model based on reusing and extending the set of abstract relations
	present in the DOLCE ontology. The resulting set of relations is well grounded,
	allows to capture a wide range of relations and could thus be used as a
	foundation for automatic
	classification of semantic relations.},
  url       = {http://aclweb.org/anthology/W16-5305}
}