natural-language-processing-20
Natural Language Understanding
3260 papers • 126 benchmarks • 313 datasets
Natural Language Understanding is an important field of Natural Language Processing which contains various tasks such as text classification, natural language inference and story comprehension. Applications enabled by natural language understanding range from question answering to automated reasoning. Source: Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
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Benchmarks
These leaderboards are used to track progress in natural-language-understanding-20
Trend
Dataset
Best Model
Actions
PDP60
PDP60
STREUSLE
STREUSLE
LexGLUE
LexGLUE
Libraries
iUse these libraries to find natural-language-understanding-20 models and implementations
11 papers 124,889
Datasets
No datasets available.
