Ting-Hao Huang

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Ting-Hao (Kenneth) Huang is currently a PhD student in Language Technologies Institute (LTI) of Carnegie Mellon University (CMU). His main research interests are in crowd-powered system and natural language processing. Kenneth obtained his B.S. degree in computer science and B.A. in Chinese Literature from National Taiwan University (NTU) in 2007. He then worked with Prof. Hsin-Hsi Chen on sentiment analysis and received his M.S. in computer science from NTU. Later in 2011, he started his study in LTI, CMU with Prof. Teruko Mitamura on metaphor detection and interpretation. After receiving his second M.S. in computer science, Kenneth developed his research interests toward the collaborati...

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Ting-Hao Huang

Présentations

Guardian: A Crowd-Powered Spoken Dialog System for Web APIs

Social Metaphor Detection via Topical Analysis

Visual Storytelling (NAACL 2016, Poster)

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

A Crowd-Powered Conversational Assistant That Automates Itself Over Time

Real-time On-Demand Crowd-powered Entity Extraction

A 10-Month-Long Deployment Study of On-Demand Recruiting for Low-Latency Crowdsourcing

Evorus: A Crowd-Powered Conversational Assistant Built to Automate Itself Over Time

A Crowd-Powered Conversational Assistant That Automates Itself Over Time