LOLgorithm: Integrating Semantic, Syntactic and Contextual Elements for Humor Classification
T Khurana, K Pillalamarri, V Pande, M Singh - arXiv preprint arXiv …, 2024 - arxiv.org
This paper explores humor detection through a linguistic lens, prioritizing syntactic,
semantic, and contextual features over computational methods in Natural Language …
semantic, and contextual features over computational methods in Natural Language …
SIBI Syllable Recognition System With LSTM
J Sulaksono, IAD Girinatari, M Sudarma… - … on Smart-Green …, 2023 - ieeexplore.ieee.org
Deaf people are people who are unable to communicate with spoken language. Deaf
people communicate with the Indonesian Sign System or commonly known as SIBI. In fact …
people communicate with the Indonesian Sign System or commonly known as SIBI. In fact …
[PDF][PDF] Humour Detection in Text; Developing an Automated System to Detect Humour in Text Using Machine Learning, Deep Learning and Large Language Models
P Owero-ozeze, C Cashmore, O Okorie - 2024 - preprints.org
This research investigates the automatic detection of humour. The basic structure of humor
consists in the punchline and contextual meaning leading to the joke. Although a joke's pith …
consists in the punchline and contextual meaning leading to the joke. Although a joke's pith …