A Study of the Importance of External Knowledge in the Named Entity Recognition Task

Dominic Seyler, Tatiana Dembelova, Luciano Del Corro, Johannes Hoffart, Gerhard Weikum


Abstract
In this work, we discuss the importance of external knowledge for performing Named Entity Recognition (NER). We present a novel modular framework that divides the knowledge into four categories according to the depth of knowledge they convey. Each category consists of a set of features automatically generated from different information sources, such as a knowledge-base, a list of names, or document-specific semantic annotations. Further, we show the effects on performance when incrementally adding deeper knowledge and discuss effectiveness/efficiency trade-offs.
Anthology ID:
P18-2039
Volume:
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
July
Year:
2018
Address:
Melbourne, Australia
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
241–246
Language:
URL:
https://www.aclweb.org/anthology/P18-2039
DOI:
10.18653/v1/P18-2039
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/P18-2039.pdf
Poster:
 P18-2039.Poster.pdf