While approaches on addressing these issues exist, current algorithms typically suffer from high time complexity (Finkel and Manning, 2009) and are therefore difficult to scale to large datasets.
the problem of designing efficient and scalable models for mention extraction and classification from natural language texts becomes increasingly important in this era where a large volume of textual data is becoming available on the Web every day -users need systems which are able to scale to extremely large datasets to support efficient semantic analysis for timely decisonmaking.