Entity Extraction with Knowledge from Web Scale Corpora

Zeyi Wen, Zeyu Huang, Rui Zhang

Research output: Chapter in Book/Conference paperConference paper

Abstract

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.
Original languageEnglish
Title of host publicationThe 31st Australasian Database Conference (ADC)
Number of pages12
Publication statusPublished - 2020
Event31st Australasian Database Conference - Swinburne University of Technology, Melbourne, Australia
Duration: 4 Feb 20207 Feb 2020
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=92879&copyownerid=155630

Conference

Conference31st Australasian Database Conference
Abbreviated titleADC 2020
CountryAustralia
CityMelbourne
Period4/02/207/02/20
Internet address

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