- Published on
Learning NER from Experts
- Authors
- Name
- Martin Andrews
- @mdda123
This paper was accepted to IES-2015 in Bangkok, Thailand.
Abstract
Named Entity Recognition (NER) is a foundational technology for systems designed to process Natural Language documents. However, many existing state-of-the-art systems are difficult to integrate into commercial settings (due their monolithic construction, licensing constraints, or need for corpuses, for example). In this work, a new NER system is described that uses the output of existing systems over large corpuses as its training set, ultimately enabling labelling with (i) better F1 scores; (ii )higher labelling speeds; and (iii) no further dependence on the external software.
Poster Version
This version was actually shown as a poster as part of a 'local researchers' competition at the Nvidia ASEAN GPU conference in 2015, where it won 2nd prize : a Titan X (Maxwell) Nvidia GPU!
![Presentation Content Example](/_next/image?url=%2Fstatic%2Fimages%2Fblog%2F2015-08-27_GTC-SA-2015_NER_Poster_1274x899.png&w=3840&q=75)
Conference Presentation
Here are the Presentation slides that I presented for the paper at IES-2015 in Bangkok, Thailand.
![Presentation Screenshot](/_next/image?url=%2Fstatic%2Fimages%2Fblog%2F2015-11-24_IES-2015-Presentation_600x390.png&w=1200&q=75)
If there are any questions about the presentation please ask below, or contact me using the details given on the slides themselves.
![Presentation Content Example](/_next/image?url=%2Fstatic%2Fimages%2Fblog%2F2015-11-24_IES-2015-Presentation_4-2_600x390.png&w=1200&q=75)
Link to Paper
Direct link to PDF on author website - (as allowed by Springer copyright rules)
And the Springer BiBTeX
entry:
@incollection{andrews2016named,
title={Named Entity Recognition Through Learning from Experts},
author={Andrews, Martin},
booktitle={Intelligent and Evolutionary Systems},
pages={281--292},
year={2016},
publisher={Springer}
}