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Found 2 papers, 2 papers with code
Search and Learn: Improving Semantic Coverage for Data-to-Text Generation
To this end, we propose a search-and-learning approach that leverages pretrained language models but inserts the missing slots to improve the semantic coverage.
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
In this work, we address the explainability of NLI by weakly supervised logical reasoning, and propose an Explainable Phrasal Reasoning (EPR) approach.
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