Papers by José María Hoya Quecedo
Neural Disambiguation of Lemma and Part of Speech in Morphologically Rich Languages (2020.lrec-1)
Copied to clipboard
| Challenge: | a method for disambiguating the lemma and part of speech of ambiguous words is proposed . a morphological analyser produces multiple analyses for ambiguously words . |
| Approach: | They propose a method for disambiguating the lemma and part of speech of ambiguous words in context . they use a large un-annotated corpus of text and a morphological analyser to train neural networks on the output of the analyser . |
| Outcome: | The proposed method outperforms the state-of-the-art on POS and lemma disambiguation in morphologically rich languages using no manual disambiguations or data annotations. |