@InProceedings{marresetaylor-matsuo:2017:EACLSRW17,
  author    = {Marrese-Taylor, Edison  and  Matsuo, Yutaka},
  title     = {Replication issues in syntax-based aspect extraction for opinion mining},
  booktitle = {Proceedings of the Student Research Workshop at the 15th Conference of the European Chapter of the Association for Computational Linguistics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {23--32},
  abstract  = {Reproducing experiments is an important instrument to validate previous work
	and build upon existing approaches. It has been tackled numerous times in
	different areas of science. In this paper, we introduce an empirical
	replicability study of three well-known algorithms for syntactic centric
	aspect-based opinion mining. We show that reproducing results continues to be a
	difficult endeavor, mainly due to the lack of details regarding preprocessing
	and parameter setting, as well as due to the absence of available
	implementations that clarify these details. We consider these are important
	threats to validity of the research on the field, specifically when compared to
	other problems in NLP where public datasets and code availability are critical
	validity components. We conclude by encouraging code-based research, which we
	think has a key role in helping researchers to understand the meaning of the
	state-of-the-art better and to generate continuous advances.},
  url       = {http://www.aclweb.org/anthology/E17-4003}
}