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Found 15 papers, 0 papers with code
Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification
As labeling schemas evolve over time, small differences can render datasets following older schemas unusable.
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ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI
We examine the effect of domain-specific external knowledge variations on deep large scale language model performance.
Multitask Learning for Class-Imbalanced Discourse Classification
Small class-imbalanced datasets, common in many high-level semantic tasks like discourse analysis, present a particular challenge to current deep-learning architectures.
An Account of Opinion Implicatures
While previous sentiment analysis research has concentrated on the interpretation of explicitly stated opinions and attitudes, this work initiates the computational study of a type of opinion implicature (i. e., opinion-oriented inference) in text.
