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Found 5 papers, 2 papers with code
Systematic Literature Review: Computational Approaches for Humour Style Classification
Furthermore, the SLR identifies a range of features and computational models that can seamlessly transition from related tasks like binary humour and sarcasm detection to invigorate humour style classification.
A Multilingual Virtual Guide for Self-Attachment Technique
In this work, we propose a computational framework that leverages existing out-of-language data to create a conversational agent for the delivery of Self-Attachment Technique (SAT) in Mandarin.
From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Technique
In particular, we collect a dataset of over 6, 000 utterances and develop a novel sentiment-analysis module that classifies user sentiment into 12 classes, with accuracy above 92%.
An Empathetic AI Coach for Self-Attachment Therapy
In this work, we present a new dataset and a computational strategy for a digital coach that aims to guide users in practicing the protocols of self-attachment therapy.
Capacity of strong attractor patterns to model behavioural and cognitive prototypes
In the case of a single strong pattern in the presence of simple patterns, when the ratio of the number of all stored patterns and the network size is a positive constant, we obtain the distribution of the overlaps of the patterns with the mean field and deduce that the storage capacity for retrieving a strong pattern exceeds that for retrieving a simple pattern by a multiplicative factor equal to the square of the degree of the strong pattern.
