@InProceedings{hernandez-buscaldi-charnois:2017:SemEval,
  author    = {Hernandez, Simon David  and  Buscaldi, Davide  and  Charnois, Thierry},
  title     = {LIPN at SemEval-2017 Task 10: Filtering Candidate Keyphrases from Scientific Publications with Part-of-Speech Tag Sequences to Train a Sequence Labeling Model},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {995--999},
  abstract  = {This paper describes the system used by the team LIPN in SemEval 2017 Task 10:
	Extracting Keyphrases and Relations from Scientific Publications. The team
	participated in Scenario 1, that includes three subtasks, Identification of
	keyphrases (Subtask A), Classification of identified keyphrases (Subtask B) and
	Extraction of relationships between two identified keyphrases (Subtask C). The
	presented system was mainly focused on the use of part-of-speech tag sequences
	to filter candidate keyphrases for Subtask A. Subtasks A and B were addressed
	as a sequence labeling problem using Conditional Random Fields (CRFs) and even
	though Subtask C was out of the scope of this approach, one rule was included
	to identify synonyms.},
  url       = {http://www.aclweb.org/anthology/S17-2174}
}