Summary of the paper
| Title | Corpus Annotation as a Scientific Task |
|---|---|
| Authors | Donia Scott, Rossano Barone and Rob Koeling |
| Abstract | Annotation studies in CL are generally unscientific: they are mostly not reproducible, make use of too few (and often non-independent) annotators and use guidelines that are often something of a moving target. Additionally, the notion of ‘expert annotators' invariably means only that the annotators have linguistic training. While this can be acceptable in some special contexts, it is often far from ideal. This is particularly the case when subtle judgements are required or when, as increasingly, one is making use of corpora originating from technical texts that have been produced by, and intended to be consumed by, an audience of technical experts in the field. We outline a more rigorous approach to collecting human annotations, using as our example a study designed to capture judgements on the meaning of hedge words in medical records. |
| Topics | Corpus (creation, annotation, etc.), Evaluation methodologies, Cognitive methods |
Full paper  |
Corpus Annotation as a Scientific Task |
| Bibtex | @InProceedings{SCOTT12.569, author = {Donia Scott and Rossano Barone and Rob Koeling}, title = {Corpus Annotation as a Scientific Task}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |