Location-Aware Visual Question Generation with Lightweight Models

1 code implementation • 23 Oct 2023 • Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun Min Hung, Ting-Hao Kenneth Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun

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 location.

Question Generation Question-Generation

How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels

1 code implementation • 26 Aug 2020 • Hua Shen, Ting-Hao Kenneth Huang

Explaining to users why automated systems make certain mistakes is important and challenging.

"Is there anything else I can help you with?": Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent

no code implementations • 10 Aug 2017 • Ting-Hao Kenneth Huang, Walter S. Lasecki, Amos Azaria, Jeffrey P. Bigham

To address this problem, we developed a crowd-powered conversational assistant, Chorus, and deployed it to see how users and workers would interact together when mediated by the system.

Sentence

MoodSwipe: A Soft Keyboard that Suggests Messages Based on User-Specified Emotions

no code implementations • 22 Jul 2017 • Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao Kenneth Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, Lun-Wei Ku

We present MoodSwipe, a soft keyboard that suggests text messages given the user-specified emotions utilizing the real dialog data.

Emotion Classification General Classification

Social Metaphor Detection via Topical Analysis

no code implementations • ROCLINGIJCLCLP 2014 • Ting-Hao Kenneth Huang