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Found 4 papers, 4 papers with code
Conic10K: A Challenging Math Problem Understanding and Reasoning Dataset
Since the dataset only involves a narrow range of knowledge, it is easy to separately analyse the knowledge a model possesses and the reasoning ability it has.
Do PLMs Know and Understand Ontological Knowledge?
In this paper, we focus on probing whether PLMs store ontological knowledge and have a semantic understanding of the knowledge rather than rote memorization of the surface form.
COMBO: A Complete Benchmark for Open KG Canonicalization
The subject and object noun phrases and the relation in open KG have severe redundancy and ambiguity and need to be canonicalized.
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
We use mean-field variational inference for efficient type inference on very large type sets and unfold it as a neural network module to enable end-to-end training.
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Entity Typing
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