Ting-Hao Kenneth Huang

Orcid: 0000-0001-7021-4627

According to our database1, Ting-Hao Kenneth Huang authored at least 78 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds.
CoRR, 2024

Generating Educational Materials with Different Levels of Readability using LLMs.
CoRR, 2024

What Color Scheme is More Effective in Assisting Readers to Locate Information in a Color-Coded Article?
Proceedings of the IEEE Visualization and Visual Analytics, 2024

How Does Conversation Length Impact User's Satisfaction? A Case Study of Length-Controlled Conversations with LLM-Powered Chatbots.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

If in a Crowdsourced Data Annotation Pipeline, a GPT-4.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Dark Sides: Envisioning, Understanding, and Preventing Harmful Effects of Writing Assistants - The Third Workshop on Intelligent and Interactive Writing Assistants.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

On Replacing Humans with Large Language Models in Voice-Based Human-in-the-Loop Systems.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023
Inspo: Writing Stories with a Flock of AIs and Humans.
CoRR, 2023

Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts.
CoRR, 2023

Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction.
CoRR, 2023

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.
Proceedings of the 16th International Natural Language Generation Conference, 2023

Location-Aware Visual Question Generation with Lightweight Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Nationality Bias in Text Generation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

The Second Workshop on Intelligent and Interactive Writing Assistants.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
Empowering local communities using artificial intelligence.
Patterns, 2022

Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers.
CoRR, 2022

Let's Talk! Striking Up Conversations via Conversational Visual Question Generation.
CoRR, 2022

Multi-VQG: Generating Engaging Questions for Multiple Images.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Empathy-Centric Design At Scale.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Are Shortest Rationales the Best Explanations for Human Understanding?
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Learning to Rank Visual Stories From Human Ranking Data.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Explaining the Road Not Taken.
CoRR, 2021

A 'Sourceful' Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source.
CoRR, 2021

Semantic Frame Forecast.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

SciCap: Generating Captions for Scientific Figures.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Using Tweets to Assess Mental Well-being of Essential Workers During the COVID-19 Pandemic.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Stretch-VST: Getting Flexible With Visual Stories.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Plot and Rework: Modeling Storylines for Visual Storytelling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Project RISE: Recognizing Industrial Smoke Emissions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Smell Pittsburgh: Engaging Community Citizen Science for Air Quality.
ACM Trans. Interact. Intell. Syst., 2020

RISE Video Dataset: Recognizing Industrial Smoke Emissions.
CoRR, 2020

CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using a Non-Expert Crowd.
CoRR, 2020

How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels.
Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, 2020

Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Heteroglossia: In-Situ Story Ideation with the Crowd.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Knowledge-Enriched Visual Storytelling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd.
Hum. Comput., 2019

On Automating Conversations.
CoRR, 2019

On Using Chatbots to Promote Smoking Cessation Among Adolescents of Low Socioeconomic Status.
CoRR, 2019

Dixit: Interactive Visual Storytelling via Term Manipulation.
Proceedings of the World Wide Web Conference, 2019

Smell Pittsburgh: community-empowered mobile smell reporting system.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

On How Users Edit Computer-Generated Visual Stories.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Visual Story Post-Editing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Community-Empowered Mobile Smell Reporting System.
CoRR, 2018

EmotionLines: An Emotion Corpus of Multi-Party Conversations.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
MoodSwipe: A Soft Keyboard that Suggests Messages Based on User-Specified Emotions.
CoRR, 2017

Real-time On-Demand Crowd-powered Entity Extraction.
CoRR, 2017

WearMail: On-the-Go Access to Information in Your Email with a Privacy-Preserving Human Computation Workflow.
Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017

Evorus: A Crowd-powered Conversational Assistant That Automates Itself Over Time.
Proceedings of the Adjunct Publication of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017

A 10-Month-Long Deployment Study of On-Demand Recruiting for Low-Latency Crowdsourcing.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

On How Deaf People Might Use Speech to Control Devices.
Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, 2017

Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

"Is There Anything Else I Can Help You With?" Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush.
Proceedings of the COLING 2016, 2016

InstructableCrowd: Creating IF-THEN Rules via Conversations with the Crowd.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015
On Available Corpora for Empirical Methods in Vision & Language.
CoRR, 2015

Guardian: A Crowd-Powered Spoken Dialog System for Web APIs.
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015

A Survey of Current Datasets for Vision and Language Research.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

ACBiMA: Advanced Chinese Bi-Character Word Morphological Analyzer.
Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing, 2015

2014
Social Metaphor Detection via Topical Analysis.
Int. J. Comput. Linguistics Chin. Lang. Process., 2014

Combining Non-Expert and Expert Crowd Work to Convert Web APIs to Dialog Systems.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

2012
Domain Dependent Word Polarity Analysis for Sentiment Classification.
Int. J. Comput. Linguistics Chin. Lang. Process., 2012

領域相關詞彙極性分析及文件情緒分類之研究 (Domain Dependent Word Polarity Analysis for Sentiment Classification) [In Chinese].
Proceedings of the 24th Conference on Computational Linguistics and Speech Processing, 2012

Modeling Pollyanna Phenomena in Chinese Sentiment Analysis.
Proceedings of the COLING 2012, 2012

2011
Predicting Opinion Dependency Relations for Opinion Analysis.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

2010
Construction of a Chinese Opinion Treebank.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

2009
Using Morphological and Syntactic Structures for Chinese Opinion Analysis.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009


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