Papers with out-of-vocabulary rate
Improving Multilingual Models with Language-Clustered Vocabularies (2020.emnlp-main)
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| Challenge: | State-of-the-art multilingual models depend on vocabularies that cover all languages . but the methods for generating those vocalaries are not ideal for massively multilingual applications. |
| Approach: | They propose a procedure for multilingual vocabulary generation that combines separately trained vocabularies of several automatically derived language clusters. |
| Outcome: | The proposed procedure shows improvements across languages on multilingual benchmark tasks . the proposed procedure reduces out-of-vocabulary rate by a factor of 8 . |
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. |