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A.: Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines
| Venue: | In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14), European Language Resources Association (ELRA) (2014) 859–866 |
| Citations: | 4 - 1 self |
BibTeX
@INPROCEEDINGS{Sabou_a.:corpus,
author = {Marta Sabou and Kalina Bontcheva and Leon Derczynski and Arno Scharl},
title = {A.: Corpus Annotation through Crowdsourcing: Towards Best Practice Guidelines},
booktitle = {In: Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14), European Language Resources Association (ELRA) (2014) 859–866},
year = {}
}
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Abstract
Abstract Crowdsourcing is an emerging collaborative approach that can be used for the acquisition of annotated corpora and a wide range of other linguistic resources. Although the use of this approach is intensifying in all its key genres (paid-for crowdsourcing, games with a purpose, volunteering-based approaches), the community still lacks a set of best-practice guidelines similar to the annotation best practices for traditional, expert-based corpus acquisition. In this paper we focus on the use of crowdsourcing methods for corpus acquisition and propose a set of best practice guidelines based in our own experiences in this area and an overview of related literature. We also introduce GATE Crowd, a plugin of the GATE platform that relies on these guidelines and offers tool support for using crowdsourcing in a more principled and efficient manner.
