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Found 5 papers, 3 papers with code
LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI
Natural Language Inference (NLI) is considered a representative task to test natural language understanding (NLU).
Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task
The recent state-of-the-art natural language understanding (NLU) systems often behave unpredictably, failing on simpler reasoning examples.
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
Generating code-switched text is a problem of growing interest, especially given the scarcity of corpora containing large volumes of real code-switched text.
Meta-Learning for Effective Multi-task and Multilingual Modelling
We present experiments on five different tasks and six different languages from the XTREME multilingual benchmark dataset.
Stem-driven Language Models for Morphologically Rich Languages
Neural language models (LMs) have shown to benefit significantly from enhancing word vectors with subword-level information, especially for morphologically rich languages.
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