Extrinsic Corpus Evaluation with a Collocation Dictionary Task
| Authors | |
|---|---|
| Year of publication | 2014 |
| Type | Article in Proceedings |
| Conference | Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14) |
| MU Faculty or unit | |
| Citation | |
| web | http://www.lrec-conf.org/proceedings/lrec2014/summaries/52.html |
| Field | Informatics |
| Keywords | corpus; evaluation; collocation |
| Description | The NLP researcher or application-builder often wonders ``what corpus should I use, or should I build one of my own? If I build one of my own, how will I know if I have done a good job?'' Currently there is very little help available for them. They are in need of a framework for evaluating corpora. We develop such a framework, in relation to corpora which aim for good coverage of `general language'. The task we set is automatic creation of a publication-quality collocations dictionary. For a sample of 100 headwords of Czech and 100 of English, we identify a gold standard dataset of (ideally) all the collocations that should appear for these headwords in such a dictionary. The datasets are being made available alongside this paper. We then use them to determine precision and recall for a range of corpora, with a range of parameters. |
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