@InProceedings{saputra-mahendra-wicaksono:2018:BioNLP18,
  author    = {Saputra, Ilham Fathy  and  Mahendra, Rahmad  and  Wicaksono, Alfan Farizki},
  title     = {Keyphrases Extraction from User-Generated Contents in Healthcare Domain Using Long Short-Term Memory Networks},
  booktitle = {Proceedings of the BioNLP 2018 workshop},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {28--34},
  abstract  = {We propose keyphrases extraction technique to extract important terms from the healthcare user-generated contents. We employ deep learning architecture, i.e. Long Short-Term Memory, and leverage word embeddings, medical concepts from a knowledge base, and linguistic components as our features. The proposed model achieves 61.37\% F-1 score. Experimental results indicate that our proposed approach outperforms the baseline methods, i.e. RAKE and CRF, on the task of extracting keyphrases from Indonesian health forum posts.},
  url       = {http://www.aclweb.org/anthology/W18-2304}
}