Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags (C18-1)
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| Challenge: | Named entity recognition (NER) taggers require external morphological disambiguation tools to function which are hard to obtain or non-existent for many languages. |
| Approach: | They propose a model which jointly learns NER and MD taggers in languages for which one can provide a list of candidate morphological analyses. |
| Outcome: | The proposed model can be trained independently of the morphological annotation schemes, and it performs competitively. |
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