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The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging
[article]
2018
arXiv
pre-print
In natural language processing, the deep learning revolution has shifted the focus from conventional hand-crafted symbolic representations to dense inputs, which are adequate representations learned automatically from corpora. However, particularly when working with low-resource languages, small amounts of symbolic lexical resources such as user-generated lexicons are often available even when gold-standard corpora are not. Such additional linguistic information is though often neglected, and
arXiv:1811.08757v1
fatcat:lqlktsaeyfau7dxy5kocp22kwi