LeadMine: a grammar and dictionary driven approach to entity recognition

@inproceedings{Lowe2015LeadMineAG,
  title={LeadMine: a grammar and dictionary driven approach to entity recognition},
  author={Daniel M. Lowe and Roger A. Sayle},
  booktitle={J. Cheminformatics},
  year={2015}
}
BACKGROUND Chemical entity recognition has traditionally been performed by machine learning approaches. Here we describe an approach using grammars and dictionaries. This approach has the advantage that the entities found can be directly related to a given grammar or dictionary, which allows the type of an entity to be known and, if an entity is misannotated, indicates which resource should be corrected. As recognition is driven by what is expected, if spelling errors occur, they can be… CONTINUE READING
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