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- W80654319 abstract "We present a number of semi-supervised parsing experiments on the Irish language carried out using a small seed set of manually parsed trees and a larger, yet still relatively small, set of unlabelled sentences. We take two popular dependency parsers ‐ one graph-based and one transition-based ‐ and compare results for both. Results show that using semisupervised learning in the form of self-training and co-training yields only very modest improvements in parsing accuracy. We also try to use morphological information in a targeted way and fail to see any improvements." @default.
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- W80654319 date "2013-10-18" @default.
- W80654319 modified "2023-09-26" @default.
- W80654319 title "Working with a small dataset - semi-supervised dependency parsing for Irish" @default.
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