A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource
[article]
2016
arXiv
pre-print
Word embeddings have recently seen a strong increase in interest as a result of strong performance gains on a variety of tasks. However, most of this research also underlined the importance of benchmark datasets, and the difficulty of constructing these for a variety of language-specific tasks. Still, many of the datasets used in these tasks could prove to be fruitful linguistic resources, allowing for unique observations into language use and variability. In this paper we demonstrate the
arXiv:1607.00225v1
fatcat:kvzlpmarbjcf3luam4nxw25n5a