Papers with automatic annotation pipelines

1 papers
What’s Wrong with Hebrew NLP? And How to Make it Right (D19-3)

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Challenge: Sub-optimal performance of many morphologically rich languages (MRLs) is due to errors in early morphology disambiguation decisions, that cannot be recovered later on in the pipeline, yielding incoherent annotations on the whole.
Approach: They propose to use a joint morpho-syntactic infrastructure for processing Modern Hebrew texts to provide rich and expressive annotations.
Outcome: The proposed pipelines are based on a morpho-syntactic infrastructure for processing Modern Hebrew texts.

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