Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags

COLING 2018 Onur G{\"u}ng{\"o}rSuzan UskudarliTunga G{\"u}ng{\"o}r

Previous studies have shown that linguistic features of a word such as possession, genitive or other grammatical cases can be employed in word representations of a named entity recognition (NER) tagger to improve the performance for morphologically rich languages. However, these taggers require external morphological disambiguation (MD) tools to function which are hard to obtain or non-existent for many languages... (read more)

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