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
- Editors:
- Iryna Gurevych, Yusuke Miyao
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 241–246
- Language:
- URL:
- https://aclanthology.org/P18-2039
- DOI:
- 10.18653/v1/P18-2039
- Cite (ACL):
- Dominic Seyler, Tatiana Dembelova, Luciano Del Corro, Johannes Hoffart, and Gerhard Weikum. 2018. A Study of the Importance of External Knowledge in the Named Entity Recognition Task. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 241–246, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- A Study of the Importance of External Knowledge in the Named Entity Recognition Task (Seyler et al., ACL 2018)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/P18-2039.pdf
- Data
- CoNLL 2002, CoNLL 2003, YAGO