  Entity extraction is an important task in text mining and natural language
processing. A popular method for entity extraction is by comparing substrings
from free text against a dictionary of entities. In this paper, we present
several techniques as a post-processing step for improving the effectiveness of
the existing entity extraction technique. These techniques utilise models
trained with the web-scale corpora which makes our techniques robust and
versatile. Experiments show that our techniques bring a notable improvement on
efficiency and effectiveness.
