Author : Jonathan Bishop, Wahid Hassan, Robert Bilsland, Jason Barratt, Elias Alexander
Date of Publication :17th January 2024
Abstract: This research enhances Artificial Intelligence Markup Language (AIML) Systems understanding of English idioms and their emotional contexts. By integrating a database of 3,500 English idioms with 16 emoticons, each representing different emoticons. The study aims to enable AI to interpret idioms beyond their literal meanings and to respond appropriately to their emotional undertones. The aim to enable AIML to recognise these phrases and understand their contextual meaning and emotional connotations. This understanding is crucial in rendering AIML-based interactions more natural, empathetic and effective.
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