Newly Released arXiv Papers

  1. CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using Non-Expert Crowd
    Ting-Hao K. Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles
    Media Coverage: [PSU News]
    [arXiv] [GitHub]

Peer-Reviewed Conference Papers

  1. Heteroglossia: In-Situ Story Ideation with the Crowd
    Chieh-Yang Huang, Shih-Hong Huang, Ting-Hao K. Huang
    In Proceedings of Conference on Human Factors in Computing Systems 2020 (CHI 2020), 2020, Honolulu, Hawai'i, USA. (Acceptance Rate = 24.31%)
  2. Knowledge-Enriched Visual Storytelling
    Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao K. Huang, Lun-Wei Ku
    In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), February 7 - 12, 2020, New York, USA.
  3. Visual Story Post-Editing
    Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao K. Huang
    In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), July 28 - August 2, Florence, Italy.
  4. Smell Pittsburgh: Community-Empowered Mobile Smell Reporting System
    Yen-Chia Hsu, Jennifer Cross, Paul Dille, Michael Tasota, Beatrice Dias, Randy Sargent, Ting-Hao K. Huang, Illah Nourbakhsh.
    In Proceedings of the 24th annual meeting of the Intelligent User Interfaces (IUI 2019), March 17-20 2019, Los Angeles, USA.
    Outstanding Paper Award, Top 2.5% (7 out of 282 submissions)
  5. EmotionLines: An Emotion Corpus of Multi-Party Conversations
    Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo, Ting-Hao K. Huang, Lun-Wei Ku.
    In Proceedings of the 11th edition of the Language Resources and Evaluation Conference (LREC 2018), May 7-12 2018, Miyazaki, Japan.
  6. Evorus: A Crowd-Powered Conversational Assistant Built to Automate Itself Over Time
    Ting-Hao K. Huang, Joseph Chee Chang, Jeffrey P. Bigham.
    In Proceedings of Conference on Human Factors in Computing Systems 2018 (CHI 2018), 2018, Montréal, Canada. (Acceptance Rate = 25.8%)
    Best Paper Honorable Mention Award (101/2500 = 5%)
  7. A 10-Month-Long Deployment Study of On-Demand Recruiting for Low-Latency Crowdsourcing
    Ting-Hao K. Huang, Jeffrey P. Bigham.
    In Proceedings of The fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), 2017, Quebec City, Canada. (Acceptance Rate = 28.9%)
  8. WearMail: On-the-Go Access to Information in Your Email with a Privacy-Preserving Human Computation Workflow
    Saiganesh Swaminathan, Raymond Fok, Fanglin Chen, Ting-Hao K. Huang, Irene Lin, Rohan Jadvani, Walter Lasecki, Jeffrey Bigham.
    In Proceedings of 30th ACM Symposium on User Interface Software and Technology (UIST 2017), 2017, Quebec City, Canada. (Acceptance Rate = 22.5%)
  9. Real-time On-Demand Crowd-powered Entity Extraction
    Ting-Hao K. Huang, Yun-Nung Chen, Jeffrey P. Bigham.
    In Proceedings of the 5th Edition Of The Collective Intelligence Conference (CI 2017, oral presentation), 2017, New York University, NY, USA.
  10. "Is there anything else I can help you with?": Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent
    Ting-Hao K. Huang, Walter S. Lasecki, Amos Azaria, Jeffrey P. Bigham.
    In Proceedings of Conference on Human Computation & Crowdsourcing (HCOMP 2016), 2016, Austin, TX, USA. (Acceptance Rate = 30.3%)
    Media Coverage: [The Register]
  11. Visual Storytelling
    Ting-Hao K. Huang*, Francis Ferraro*, Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Aishwarya Agrawal, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, Larry Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley and Margaret Mitchell. (*: Co-first author.)
    In proc. the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2016), June, 2016, San Diego, CA, USA. (Acceptance Rate = 29%)
    Also accepted by the Workshop on Human Computation for Image and Video Analysis (GroupSight) in HCOMP 2016 as a previously published work.
  12. Guardian: A Crowd-Powered Spoken Dialog System for Web APIs
    Ting-Hao K. Huang, Walter S. Lasecki, Jeffrey P. Bigham.
    In Conference on Human Computation & Crowdsourcing (HCOMP 2015), pages 62–71, November, 2015, San Diego, USA. (Acceptance Rate = 30%)
  13. A Survey of Current Datasets for Vision and Language Research
    Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao K. Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell.
    In Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), pages 207–213, September, 2015, Lisbon, Portugal. (Acceptance Rate = 24%, 312/1315)
  14. Domain Dependent Word Polarity Analysis for Sentiment Classification (領域相關詞彙極性分析及文件情緒分類之研究)
    Ho-Cheng Yu, Ting-Hao K. Huang, Hsin-Hsi Chen.
    In Proceedings of 24th Conference on Computational Linguistics and Speech Processing (ROCLING 2012).
  15. Predicting Opinion Dependency Relations for Opinion Analysis
    Lun-Wei Ku, Ting-Hao K. Huang, and Hsin-Hsi Chen.
    In Proceeding of the 5th International Joint Conference on Natural Language Processing (IJCNLP 2011). 2011.
  16. Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches
    Ting-Hao K. Huang, Lun-Wei Ku, Hsin-Hsi Chen.
    In Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC 2010), Malta, pp. 844-850.
  17. Construction of a Chinese Opinion Treebank
    Lun-Wei Ku, Ting-Hao K. Huang, Hsin-Hsi Chen.
    In Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC 2010), Malta, pp. 1315-1319.
  18. Using Morphological and Syntactic Structures for Chinese Opinion Analysis
    Lun-Wei Ku, Ting-Hao K. Huang, Hsin-Hsi Chen.
    In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2009), Singapore, pp. 1260-1269.

Peer-Reviewed Journal Articles

  1. Smell Pittsburgh: Engaging Community Citizen Science for Air Quality
    Yen-Chia Hsu, Jennifer Cross, Paul Dille, Michael Tasota, Beatrice Dias, Randy Sargent, Ting-Hao K. Huang, Illah Nourbakhsh.
    ACM Transactions on Interactive Intelligent Systems. (Accepted)
  2. InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd
    Ting-Hao K. Huang, Amos Azaria, Oscar J. Romero, Jeffrey P. Bigham.
    Human Computation (2019) 6:1:113-146. ISSN: 2330-8001, DOI: 10.15346/hc.v6i1.7.
  3. Social Metaphor Detection via Topical Analysis
    Ting-Hao K. Huang.
    International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP), 19(2) (2014). (Published)
  4. Domain Dependent Word Polarity Analysis for Sentiment Classification (領域相關詞彙極性分析及文件情緒分類之研究)
    Ho-Cheng Yu, Ting-Hao K. Huang, and Hsin-Hsi Chen.
    International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP), 17(3-4): Special Issue on ROCLING 2012. (Published)

Position Papers

  1. On Automating Conversations
    Ting-Hao K. Huang.
  2. On Using Chatbots to Promote Smoking Cessation Among Adolescents of Low Socioeconomic Status.
    Patricia Simon, Suchitra Krishnan-Sarin, Ting-Hao K. Huang.

Workshop, Symposia, and Consortia Papers

  1. Epistemo: A Crowd-Powered Conversational Search Interface
    Saiganesh Swaminathan, Ting-Hao K. Huang, Irene Lin, Anhong Gun, Gierad Laput, and Jeffrey Bigham.
    In the Talking with Conversational Agents in Collaborative Action Workshop at the 20th ACM conference on Computer-Supported Cooperative Work and Social Computing (CSCW '17)
  2. Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications
    Chieh-Yang Huang, Ting-Hao K. Huang, Lun-Wei Ku.
    In the Designing the User Experience of Machine Learning Systems symposium (AAAI 2017 Spring Symposium Series), March 27-29, 2017, Palo Alto, USA.
  3. Crowd-Powered Conversational Agents
    Ting-Hao K. Huang.
    Doctoral Consortium of Conference on Human Computation & Crowdsourcing (HCOMP DC 2016), 2016, Austin, TX, USA.
  4. ACBiMA: Advanced Chinese Bi-Character Word Morphological Analyzer
    Ting-Hao K. Huang, Yun-Nung Chen, Lingpeng Kong.
    The 8th SIGHAN Workshop on Chinese Language Processing (SIGHAN 2015), page 26-31, July 30-31, 2015, Beijing, China. (Acceptance Rate = 29%)
    Best Poster Award in LTI Student Research Symposium 2013
  5. Social Metaphor Detection via Topical Analysis
    Ting-Hao K. Huang.
    IJCNLP 2013 Workshop on Natural Language Processing for Social Media (SocialNLP 2013), pages 14–22, Nagoya, Japan, 14 October 2013.

Demos

  1. Dixit: Interactive Visual Storytelling via Term Manipulation.
    Chao-Chun Hsu, Yu-Hua Chen, Zi-Yuan Chen, Hsin-Yu Lin, Ting-Hao K. Huang, and Lun-Wei Ku.
    In the Demo track of The Web Conference 2019 (TheWebConf Demo 2019), 2019.
  2. MoodSwipe: A Soft Keyboard that Suggests Messages Based on User-Specified Emotions
    Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao K. Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, and Lun-Wei Ku.
    In the Demo track of the Conference on Empirical Methods in Natural Language Processing 2017 (EMNLP Demo 2017), Sep, 2017, Copenhagen, Denmark.
  3. Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush
    Shih-Ming Wang, Chun-Hui Li, Yu-Chun Lo, Ting-Hao K. Huang, Lun-Wei Ku.
    In the Demo track of the 26th International Conference on Computational Linguistics (COLING Demo 2016), Dec, 2016, Osaka, Japan.
  4. Modeling Pollyanna Phenomena in Chinese Sentiment Analysis
    Ting-Hao K. Huang, Ho-Cheng Yu and Hsin-Hsi Chen.
    In Proceedings of COLING 2012: Demonstration Papers (COLING Demo 2012), pages 231–238, Mumbai, December 2012.

Posters and Extended Abstracts

  1. On How Users Edit Computer-Generated Visual Stories.
    Ting-Yao Hsu, Yen-Chia Hsu, and Ting-Hao K. Huang.
    In CHI'19 Late-Breaking Work on Human Factors in Computing Systems (CHI LBW 2019), 2019.
  2. On How Deaf People Might Use Speech to Control Devices
    Jeffrey Bigham, Raja Kushalnagar, Ting-Hao K. Huang, Juan Pablo Flores and Saiph Savage.
    Poster track ASSETS 2017 (ASSETS Poster 2017), October, 2017. Baltimore, Maryland.
  3. Evorus: A Crowd-powered Conversational Assistant That Automates Itself Over Time
    Ting-Hao K. Huang, Joseph Chee Chang, Saiganesh Swaminathan, Jeffrey Bigham.
    Poster track of the 20th ACM Symposium on User Interface Software and Technology (UIST Poster 2017), October, 2017. Quebec City, Canada.
  4. InstructableCrowd: Creating IF-THEN Rules via Conversations with the Crowd
    Ting-Hao K. Huang, Amos Azaria, Jeffrey P Bigham.
    In CHI '16 Late-Breaking Work on Human Factors in Computing Systems (CHI LBW 2016), May, 2016, San Jose, CA, USA.
    Best Paper Honorable Mention Award (14/281 = 5%)
  5. Combining Non-Expert and Expert Crowd Work to Convert Web APIs to Dialog Systems
    Ting-Hao K. Huang, Walter S. Lasecki, Alan L. Ritter, Jeffrey P. Bigham.
    Work-in-Progress paper in the Proceeding of Conference on Human Computation & Crowdsourcing (HCOMP WIP 2014), pages 22-23, November 2-4, 2014, Pittsburgh, USA.

Theses

  1. A Crowd-Powered Conversational Assistant That Automates Itself Over Time
    Ting-Hao K. Huang.
    PhD Dissertation, Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA. 2018.
  2. Automatic Extraction of Intra- and Inter- word Syntactic Structures for Chinese Opinion Analysis (應用於中文意見分析之詞內暨詞間語法結構自動擷取研究)
    Ting-Hao K. Huang.
    Master thesis, GINM, National Taiwan University, Taipei. 2009.