@InProceedings{fialho-EtAl:2017:SemEval,
  author    = {Fialho, Pedro  and  Patinho Rodrigues, Hugo  and  Coheur, Lu\'{i}sa  and  Quaresma, Paulo},
  title     = {L2F/INESC-ID at SemEval-2017 Tasks 1 and 2: Lexical and semantic features in word and textual similarity},
  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     = {213--219},
  abstract  = {This paper describes our approach to the SemEval-2017 ``Semantic Textual
	Similarity'' and ``Multilingual Word Similarity'' tasks. In the former, we test
	our approach in both English and Spanish, and use a linguistically-rich set of
	features. These move from lexical to semantic features. In particular, we try
	to take advantage of the recent Abstract Meaning Representation and SMATCH
	measure. Although without state of the art results, we introduce semantic
	structures in textual similarity and analyze their impact. Regarding word
	similarity, we target the English language and combine WordNet information with
	Word Embeddings. Without matching the best systems, our approach proved to be
	simple and effective.},
  url       = {http://www.aclweb.org/anthology/S17-2032}
}