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Found 6 papers, 3 papers with code
NICE: Neural Image Commenting with Empathy
Based on these annotations, we define two different tasks for the NICE dataset.
Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels
In this work we propose OpenFSP, a framework that allows for easy creation of new domains from a handful of simple labels that can be generated without specific NLP knowledge.
Combining Analogy with Language Models for Knowledge Extraction
Learning structured knowledge from natural language text has been a long-standing challenge.
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling
Recent advances in the integration of deep learning with automated theorem proving have centered around the representation of logical formulae as inputs to deep learning systems.
Ranked #1 on
Automated Theorem Proving
on HolStep (Conditional)
High-Fidelity Vector Space Models of Structured Data
Machine learning systems regularly deal with structured data in real-world applications.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
