Papers with MUMULS

1 papers
Improving a Neural-based Tagger for Multiword Expressions Identification (L18-1)

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Challenge: MUMULS tagger for automatic detection of verbal multiword expressions is based on neural networks . character-level embeddings can improve the performance, reducing out-of-vocabulary rate . multiword Expressions are viewed by computational linguists as a "pain in the neck of NLP"
Approach: They propose to improve MUMULS, a tagger for automatic detection of verbal multiword expressions.
Outcome: The proposed tagger performed better on Czech language than the previous taggers.

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