Ontology-based interpretation of natural language

By Esslli Site, Asds sp. z o.o.. 2012

33 citations recorded by the source corpus.

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What do we need to build explainable AI systems for the medical domain? (2017, background): “…automated text understanding is still hampered by the fact that text is more expressive than tractable forms of logic and their representations, e.g. see (Kr¨otzsch et al., 2008) and there are no established ways to convert a text to its ontological representation (Cimiano et al., 2014).”
Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System (2019, background): “Question Answering relevance task is a fundamental task in Q&A system (Cimiano et al., 2014) (Table 1 shows an example), which is to distinguish whether an answer could well address the given question.”