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Found 5 papers, 3 papers with code
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding
In the age of large transformer language models, linguistic evaluation play an important role in diagnosing models' abilities and limitations on natural language understanding.
Probing Linguistic Information For Logical Inference In Pre-trained Language Models
We propose a methodology for probing linguistic information for logical inference in pre-trained language model representations.
NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning
Deep learning (DL) based language models achieve high performance on various benchmarks for Natural Language Inference (NLI).
Ranked #1 on
Natural Language Inference
on SICK
Monotonicity Marking from Universal Dependency Trees
Dependency parsing is a tool widely used in the field of Natural language processing and computational linguistics.
Attentive Tree-structured Network for Monotonicity Reasoning
We show and attempt to explain that our model outperforms existing models on MED.
