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Found 3 papers, 1 papers with code
Understanding Procedural Text using Interactive Entity Networks
Recent efforts have made great progress to track multiple entities in a procedural text, but usually treat each entity separately and ignore the fact that there are often multiple entities interacting with each other during one process, some of which are even explicitly mentioned.
Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario
Although pretrained language models can generate fluent recipe texts, they fail to truly learn and use the culinary knowledge in a compositional way.
Learning to Update Knowledge Graphs by Reading News
News streams contain rich up-to-date information which can be used to update knowledge graphs (KGs).
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