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The M-FleNS project aims to enhance Natural Language Generation by integrating neural and symbolic approaches. It seeks to improve accuracy, fluency, and energy efficiency, particularly for low-resource languages, to create advanced language generation systems for practical applications.
The core aim of the M-FleNS (Multilingual Flexible Neuro-Symbolic Language Generation) project is to explore the extent to which combining the strengths of neural and symbolic (grammar-based) Natural Language Generation (NLG) systems is possible.
We will build FleNS generators that (i) exploit grammar-based system aspects to address the vexed problems of poor accuracy (including hallucinations and omissions of content) and data and energy-hungriness in neural generators, and (ii) exploit neural…
DUBLIN CITY UNIVERSITY
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