Training a dependency parser on gdbank

A very quick note to say that I’ve trained maltparser, a dependency parser, with the current gdbank sentences (a mere 1223 tokens spread across 70-odd sentences), the Universal POS tagging scheme and the current Universal-ish gdbank dependency annotation scheme, and then seen how it performed on an unseen test set of 8 sentences containing 276 tokens taken from an article in The Scotsman from a few years ago.

It got 196 (71%) of the heads right, 207 (75%) of the dependency types right, and both the head and the dependency were right in 187 (68%) of cases. My initial impressions is that the main problems are subordinators and my having mis-POS-tagged a few words, but there will be a confusion matrix soon.

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