Agile corpus annotation in practice: an overview of manual and automatic annotation of CVs

Authors:
Bea Alex;Claire Grover;Rongzhou Shen;Mijail Kabadjov
Affiliations:
University of Edinburgh, Edinburgh, UK;University of Edinburgh, Edinburgh, UK;University of Edinburgh, Edinburgh, UK;European Commission, Ispra (VA), Italy
Venue:
LAW IV '10 Proceedings of the Fourth Linguistic Annotation Workshop
Year:
2010

Citing 2
Cited 1

Using automated feature optimisation to create an adaptable relation extraction system

BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Unsupervised detection of annotation inconsistencies using Apriori algorithm

ACL-IJCNLP '09 Proceedings of the Third Linguistic Annotation Workshop

Proposal for an extension of traditional named entities: from guidelines to evaluation, an overview

LAW V '11 Proceedings of the 5th Linguistic Annotation Workshop

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper describes work testing agile data annotation by moving away from the traditional, linear phases of corpus creation towards iterative ones and by recognizing the potential for sources of error occurring throughout the annotation process.