CORDIS Project
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This project aims to adapt deep neural network techniques for natural language inference to the biomedical field. It focuses on improving question answering and information extraction by addressing the unique challenges posed by complex biomedical texts and the need for synthesizing information from multiple sources.
Deep neural networks (DNNs) have become a critical tool in natural language processing (NLP) for a wide variety of language technologies, from syntax to semantics to pragmatics.
In particular, in the field of natural language inference (NLI), DNNs have become the de-facto model, providing significantly better results than previous paradigms.
Their power lies in their ability to embed complex language ambiguities in high dimensional spaces coupled with non-linear compositional transformations lea…
ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS - RESEARCH CENTER
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