Humor is a fascinating and puzzling area of study in the field of computers understanding human language. The aim of this project was to understand how syntactic, semantic and contextual embeddings affect the performance of model and whether combining them together result into better model predictions.
@misc{khurana2024lolgorithmintegratingsemanticsyntacticcontextual,
title={LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification},
author={Tanisha Khurana and Kaushik Pillalamarri and Vikram Pande and Munindar Singh},
year={2024},
eprint={2408.06335},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2408.06335},
}