Using Local Grammar for Entity Extraction from Clinical Reports

@article{Ghoulam2015UsingLG,
  title={Using Local Grammar for Entity Extraction from Clinical Reports},
  author={Aicha Ghoulam and Fatiha Barigou and Ghalem Belalem and F. Meziane},
  journal={Int. J. Interact. Multim. Artif. Intell.},
  year={2015},
  volume={3},
  pages={16-24}
}
Information Extraction (IE) is a natural language processing (NLP) task whose aim is to analyze texts written in natural language to extract structured and useful information such as named entities and semantic relations linking these entities. Information extraction is an important task for many applications such as bio-medical literature mining, customer care, community websites, and personal information management. The increasing information available in patient clinical reports is difficult… 
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