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.
@article{arxiv.1911.09373,
title = {Entity Extraction with Knowledge from Web Scale Corpora},
author = {Zeyi Wen and Zeyu Huang and Rui Zhang},
journal= {arXiv preprint arXiv:1911.09373},
year = {2019}
}