Results 231 to 240 of about 98,329 (240)

MaintNorm: A corpus and benchmark model for lexical normalisation and masking of industrial maintenance short text

WNUT
Maintenance short texts are invaluable unstructured data sources, serving as a diagnostic and prognostic window into the operational health and status of physical assets. These user-generated texts, created during routine or ad-hoc maintenance activities,
Tyler Bikaun, Melinda R. Hodkiewicz, Wei Liu   +2 more
semanticscholar   +1 more source

MM-Skin: Enhancing Dermatology Vision-Language Model with an Image-Text Dataset Derived from Textbooks

ACM Multimedia
Medical vision-language models (VLMs) have shown promise as clinical assistants across various medical fields. However, specialized dermatology VLM capable of delivering professional and detailed diagnostic analysis remains underdeveloped, primarily due ...
Wenqi Zeng, Yuqi Sun, Chenxi Ma, Weimin Tan, Bo Yan   +4 more
semanticscholar   +1 more source

LMEME at SemEval-2024 Task 4: Teacher Student Fusion - Integrating CLIP with LLMs for Enhanced Persuasion Detection

International Workshop on Semantic Evaluation
This paper describes our system used in the SemEval-2024 Task 4 Multilingual Detection of Persuasion Techniques in Memes. Our team proposes a detection system that employs a Teacher Student Fusion framework.
Shiyi Li, Yike Wang, Liang Yang, Shaowu Zhang, Hongfei Lin   +4 more
semanticscholar   +1 more source

Principled Evaluation of Multi-Label Persuasion in Advertisements with Large Vision-Language Models

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
The automatic detection of persuasive strategies in advertisements presents a uniquely multimodal challenge at the intersection of vision, language, and social cognition.
Iván Martín-Fernández, M. Constantin, Bogdan Ionescu, M. Gil-Martín, F. Fernández-Martínez   +4 more
semanticscholar   +1 more source

SynthClassify: an LLM-driven framework for generating and classifying persuasive text

Defense + Commercial Sensing
Automated detection of persuasion techniques is crucial for combating disinformation, but is hindered by the lack of large, high-quality labeled datasets, especially for less common techniques.
Aleksey Panasyuk
semanticscholar   +1 more source

Persuasion Games using Large Language Models

arXiv.org
Large Language Models (LLMs) have emerged as formidable instruments capable of comprehending and producing human-like text. This paper explores the potential of LLMs, to shape user perspectives and subsequently influence their decisions on particular ...
Ganesh Prasath Ramani, S. Karande, V. Santhosh, Yash Bhatia   +3 more
semanticscholar   +1 more source

Can artificial intelligence debunk health misinformation more effectively than humans? A three‐dimensional persuasion analysis

Journal of the Association for Information Science and Technology
Health misinformation presents significant challenges to public well‐being, making effective debunking strategies crucial. While artificial intelligence (AI) shows potential in generating debunking texts, its persuasiveness compared to human‐generated ...
Xinyu Ji, Xing Zhang
semanticscholar   +1 more source

When Persuasion Is Too Persuasive: An Empirical Analysis of Product Returns in Livestream e-Commerce

Xiaojing Feng, Ying Rong, Xin Tian, Mengmeng Wang, Yuliang Yao   +4 more
semanticscholar   +1 more source

AI-Driven Sentiment Trend Analysis: Enhancing Topic Modeling Interpretation with ChatGPT

Artificial Intelligence Applications and Innovations
Abdulrahman Alharbi, A. Hai, Rafaa Aljurbua, Zoran Obradovic   +3 more
semanticscholar   +1 more source

Reading, Argumentation and Persuasion: Using Rhetorical Analysis in Textual Interpretation

, 2019
David Esteban Susa
semanticscholar   +1 more source