Modeling Composite Labels for Neural Morphological Tagging

CONLL 2018 Alexander TkachenkoKairit Sirts

Neural morphological tagging has been regarded as an extension to POS tagging task, treating each morphological tag as a monolithic label and ignoring its internal structure. We propose to view morphological tags as composite labels and explicitly model their internal structure in a neural sequence tagger... (read more)

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