14 citations · 25 across the 4 of their papers we have counts for
7 papers
MAAIG: Motion Analysis And Instruction Generation
Wei-Hsin Yeh, Pei Hsin Lin, Yu-An Su +2
Many people engage in self-directed sports training at home but lack the real-time guidance of professional coaches, making them susceptible to injuries or the development of incor…
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term
Yi-Li Hsu, Shih-Chieh Dai, Aiping Xiong +1
With advancements in natural language processing (NLP) models, automatic explanation generation has been proposed to mitigate misinformation on social media platforms in addition t…
Location-Aware Visual Question Generation with Lightweight Models
Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun Min Hung +5
This work introduces a novel task, location-aware visual question generation (LocaVQG), which aims to generate engaging questions from data relevant to a particular geographical lo…
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku
Thematic analysis (TA) has been widely used for analyzing qualitative data in many disciplines and fields. To ensure reliable analysis, the same piece of data is typically assigned…
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction
Chang-You Tai, Ming-Yao Li, Lun-Wei Ku
Automatic identification of salient aspects from user reviews is especially useful for opinion analysis. There has been significant progress in utilizing weakly supervised approach…
UTCNN: a Deep Learning Model of Stance Classificationon on Social Media Text
Wei-Fan Chen, Lun-Wei Ku
Most neural network models for document classification on social media focus on text infor-mation to the neglect of other information on these platforms. In this paper, we classify…