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Multi-Context Systems for Reactive Reasoning in Dynamic Environments
The dataset is used to model reactive multi-context systems for online reasoning in dynamic environments. -
Modeling Task Interactions in Document-Level Joint Entity and Relation Extrac...
Document-level relation extraction in an end-to-end setting, where the model needs to jointly perform mention extraction, coreference resolution (COREF) and relation extraction... -
Symbolic, Language Agnostic and Ontologically Grounded Large Language Models
The dataset used in the paper to demonstrate the limitations of large language models (LLMs) in capturing inferential aspects of natural language.
