A survey of the usages of deep learning for natural language processing

DW Otter, JR Medina, JK Kalita - IEEE transactions on neural …, 2020 - ieeexplore.ieee.org
Over the last several years, the field of natural language processing has been propelled
forward by an explosion in the use of deep learning models. This article provides a brief …

A survey on automatic generation of figurative language: From rule-based systems to large language models

H Lai, M Nissim - ACM Computing Surveys, 2024 - dl.acm.org
Figurative language generation (FLG) is the task of reformulating a given text to include a
desired figure of speech, such as a hyperbole, a simile, and several others, while still being …

Xmecap: Meme caption generation with sub-image adaptability

Y Chen, S Yan, Z Zhu, Z Li, Y Xiao - Proceedings of the 32nd ACM …, 2024 - dl.acm.org
Humor, deeply rooted in societal meanings and cultural details, poses a unique challenge
for machines. While advances have been made in natural language processing, real-world …

The perils of using Mechanical Turk to evaluate open-ended text generation

M Karpinska, N Akoury, M Iyyer - arXiv preprint arXiv:2109.06835, 2021 - arxiv.org
Recent text generation research has increasingly focused on open-ended domains such as
story and poetry generation. Because models built for such tasks are difficult to evaluate …

The JOKER corpus: English-French parallel data for multilingual wordplay recognition

L Ermakova, AG Bosser, A Jatowt, T Miller - Proceedings of the 46th …, 2023 - dl.acm.org
Despite recent advances in information retrieval and natural language processing, rhetorical
devices that exploit ambiguity or subvert linguistic rules remain a challenge for such …

Overview of JOKER@ CLEF 2022: automatic wordplay and humour translation workshop

L Ermakova, T Miller, F Regattin, AG Bosser… - … Conference of the Cross …, 2022 - Springer
While humour and wordplay are among the most intensively studied problems in the field of
translation studies, they have been almost completely ignored in machine translation. This is …

Pun generation with surprise

H He, N Peng, P Liang - arXiv preprint arXiv:1904.06828, 2019 - arxiv.org
We tackle the problem of generating a pun sentence given a pair of homophones (eg," died"
and" dyed"). Supervised text generation is inappropriate due to the lack of a large corpus of …

A survey on approaches to computational humor generation

M Amin, M Burghardt - Proceedings of the 4th Joint SIGHUM …, 2020 - aclanthology.org
We provide a comprehensive overview of existing systems for the computational generation
of verbal humor in the form of jokes and short humorous texts. Considering linguistic humor …

Ambipun: Generating humorous puns with ambiguous context

A Mittal, Y Tian, N Peng - arXiv preprint arXiv:2205.01825, 2022 - arxiv.org
In this paper, we propose a simple yet effective way to generate pun sentences that does not
require any training on existing puns. Our approach is inspired by humor theories that …

Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk

J Li, X Wu, X Liu, Q Xie, P Tiwari… - Proceedings of the 61st …, 2023 - aclanthology.org
Artificial Intelligence (AI) has been widely used in Natural Language Processing (NLP),
computer vision, speech, robots, and further applied biology, etc. In NLP, Pre-trained …