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Much previous work has been done in attempting to identify humor in text. In this paper we extend that capability by proposing a new task: assessing whether or not a joke is humorous. We present a novel way of approaching this problem by…

计算与语言 · 计算机科学 2019-09-04 Orion Weller , Kevin Seppi

Scientific facts are often spun in the popular press with the intent to influence public opinion and action, as was evidenced during the COVID-19 pandemic. Automatic detection of misinformation in the scientific domain is challenging…

Large Language Models (LLMs) have recently been shown to produce estimates of psycholinguistic norms, such as valence, arousal, or concreteness, for words and multiword expressions, that correlate with human judgments. These estimates are…

计算与语言 · 计算机科学 2026-03-13 Thomas Hikaru Clark , Carlos Arriaga , Javier Conde , Gonzalo Martínez , Pedro Reviriego

Sarcasm can be defined as saying or writing the opposite of what one truly wants to express, usually to insult, irritate, or amuse someone. Because of the obscure nature of sarcasm in textual data, detecting it is difficult and of great…

计算与语言 · 计算机科学 2022-09-21 Faria Binte Kader , Nafisa Hossain Nujat , Tasmia Binte Sogir , Mohsinul Kabir , Hasan Mahmud , Kamrul Hasan

In this work, we investigate to use Large Language Models (LLMs) for rumor detection on social media. However, it is challenging for LLMs to reason over the entire propagation information on social media, which contains news contents and…

信息检索 · 计算机科学 2024-02-09 Qiang Liu , Xiang Tao , Junfei Wu , Shu Wu , Liang Wang

We present HumorBench, a benchmark designed to evaluate large language models' (LLMs) ability to reason about and explain sophisticated humor in cartoon captions. As reasoning models increasingly saturate existing benchmarks in mathematics…

With the rapid growth of online information, the spread of fake news has become a serious social challenge. In this study, we propose a novel detection framework based on Large Language Models (LLMs) to identify and classify fake news by…

计算与语言 · 计算机科学 2025-01-22 Xiaochuan Xu , Peiyang Yu , Zeqiu Xu , Jiani Wang

Sarcasm is a linguistic expression often used to communicate the opposite of what is said, usually something that is very unpleasant with an intention to insult or ridicule. Inherent ambiguity in sarcastic expressions, make sarcasm…

计算与语言 · 计算机科学 2021-04-07 Ramya Akula , Ivan Garibay

With the recent advances in Artificial Intelligence (AI) and Large Language Models (LLMs), the automation of daily tasks, like automatic writing, is getting more and more attention. Hence, efforts have focused on aligning LLMs with human…

计算与语言 · 计算机科学 2025-06-09 Mohammadamin Shafiei , Hamidreza Saffari

In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks. While some LLMs have been trained on multilingual data, most of the training data is in English; hence, their performance in English…

Stance Detection (SD) on social media has emerged as a prominent area of interest with implications for social business and political applications thereby garnering escalating research attention within NLP. The inherent subtlety and…

计算与语言 · 计算机科学 2025-03-06 Gibson Nkhata , Susan Gauch

Sarcasm is a specific type of irony which involves discerning what is said from what is meant. Detecting sarcasm depends not only on the literal content of an utterance but also on non-verbal cues such as speaker's tonality, facial…

机器学习 · 计算机科学 2025-10-29 Anisha Saha , Varsha Suresh , Timothy Hospedales , Vera Demberg

The proliferation of misinformation on social media has raised significant societal concerns, necessitating robust detection mechanisms. Large Language Models such as GPT-4 and LLaMA2 have been envisioned as possible tools for detecting…

计算与语言 · 计算机科学 2025-03-04 Tianyi Huang , Jingyuan Yi , Peiyang Yu , Xiaochuan Xu

Comedy serves as a profound reflection of the times we live in and is a staple element of human interactions. In light of the widespread adoption of Large Language Models (LLMs), the intersection of humor and AI has become no laughing…

计算与语言 · 计算机科学 2025-11-25 Adrianna Romanowski , Pedro H. V. Valois , Kazuhiro Fukui

Sarcasm detection is an essential task that can help identify the actual sentiment in user-generated data, such as discussion forums or tweets. Sarcasm is a sophisticated form of linguistic expression because its surface meaning usually…

计算与语言 · 计算机科学 2023-01-06 Oxana Vitman , Yevhen Kostiuk , Grigori Sidorov , Alexander Gelbukh

Satirical news is regularly shared in modern social media because it is entertaining with smartly embedded humor. However, it can be harmful to society because it can sometimes be mistaken as factual news, due to its deceptive character. We…

计算与语言 · 计算机科学 2020-07-07 Yigeng Zhang , Fan Yang , Yifan Zhang , Eduard Dragut , Arjun Mukherjee

Sarcasm is a type of irony, characterized by an inherent mismatch between the literal interpretation and the intended connotation. Though sarcasm detection in text has been extensively studied, there are situations in which textual input…

计算机视觉与模式识别 · 计算机科学 2024-08-06 Sajal Aggarwal , Ananya Pandey , Dinesh Kumar Vishwakarma

Sarcasm is a way of verbal irony where someone says the opposite of what they mean, often to ridicule a person, situation, or idea. It is often difficult to detect sarcasm in the dialogue since detecting sarcasm should reflect the context…

计算与语言 · 计算机科学 2024-03-25 Yumin Kim , Heejae Suh , Mingi Kim , Dongyeon Won , Hwanhee Lee

Satirical news is real news combined with a humorous comment or exaggerated content, and it often mimics the format and style of real news. However, satirical news is often misunderstood as misinformation, especially by individuals from…

计算与语言 · 计算机科学 2024-11-19 Omar W. Abdalla , Aditya Joshi , Rahat Masood , Salil S. Kanhere

Large Language Models (LLMs) have achieved state-of-the-art performance at zero-shot generation of abstractive summaries for given articles. However, little is known about the robustness of such a process of zero-shot summarization. To…

计算与语言 · 计算机科学 2025-02-04 Hadi Askari , Anshuman Chhabra , Muhao Chen , Prasant Mohapatra