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Entity Extraction with Knowledge from Web Scale Corpora
[article]
2019
arXiv
pre-print
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
arXiv:1911.09373v1
fatcat:jl4yd2iknvatjkgo3ehhrpbadi