This shows you the differences between two versions of the page.
Both sides previous revision Previous revision | |||
job-2019-lis-postdoc [2018/12/26 10:31] carlos.ramisch |
job-2019-lis-postdoc [2018/12/26 10:33] (current) carlos.ramisch |
||
---|---|---|---|
Line 24: | Line 24: | ||
Part of these figures can be explained by the challenging nature of MWEs, and by the sparse amount of training data. However, the models being employed are also not fully compatible with the nature of the phenomenon. Indeed, supervised learning is based on generalisations made from observations. MWEs are by definition idiosyncratic, | Part of these figures can be explained by the challenging nature of MWEs, and by the sparse amount of training data. However, the models being employed are also not fully compatible with the nature of the phenomenon. Indeed, supervised learning is based on generalisations made from observations. MWEs are by definition idiosyncratic, | ||
- | **The goal of this postdoc is to improve current MWE identification systems by trying to increase their performance on unseen MWEs**. Therefore, the recruited researcher will study, implement and evaluate original methods to enrich supervised MWE identification models with information automatically extracted from large unannotated corpora. Methods to discover MWEs in corpora abound ([[http:// | + | **The goal of this postdoc is to improve current MWE identification systems by trying to increase their performance on unseen MWEs**. Therefore, the recruited researcher will study, implement and evaluate original methods to enrich supervised MWE identification models with information automatically extracted from large unannotated corpora. Methods to discover |
The TALEP team has experience with supervised MWE identification using recurrent neural networks ([[http:// | The TALEP team has experience with supervised MWE identification using recurrent neural networks ([[http:// |