Publications

Here are the papers I have published.

1. Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization Chieh-Yang Huang*, Ting-Yao Hsu*, Ryan Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, Clyde Lee Giles, and Ting-Hao K. Huang. [Preprint][Under Review]
2. What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions. Shih-Hong Huang, Chieh-Yang Huang, Ya-Fang Lin, and Ting-Hao K. Huang. To appear in Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems CHI LBW 2023
3. Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction. Chieh-Yang Huang, Saniya Naphade, Kavya Laalasa Karanam, and Ting-Hao K. Huang. In the AAAI-23 Workshop on Creative AI Across Modalities. Creative AI 2023
4. Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers. Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng, Hua Shen, Szu-Chi Kuan, Ting-Hao K. Huang The Works-in-Progress and Demonstration track of the 10th AAAI Conference on Human Computation and Crowdsourcing HCOMP 2022 WiP/Demo
5. Guided K-best Selection for Semantic Parsing Annotation Anton Belyy*, Chieh-Yang Huang*, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Aleksandr Nisnevich, Charles Chen, Benjamin Van Durme (*equal contribution) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations ACL 2022 Demo
6. Distilling Salient Reviews with Zero Labels Chieh-Yang Huang, Jinfeng Li, Nikita Bhutani, Alexander Whedon, Estevam Hruschka, Yoshihiko Suhara Proceedings of the Fifth Fact Extraction and VERification Workshop FEVER 2022 co-located with ACL 2022
7. Extracting Salient Facts from Company Reviews with Scarce Labels Jinfeng Li, Nikita Bhutani, Alexander Whedon, Chieh-Yang Huang, Estevam Hruschka, Yoshihiko Suhara The AAAI 2022 Workshop on Artificial Intelligence with Biased or Scarce Data AIBSD 2022
8. Semantic Frame Forecasting Chieh-Yang Huang and Ting-Hao K. Huang 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics NAACL 2021
9. Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent Yun-Hsuan Jen, Chieh-Yang Huang, Mei-Huan Chen, Ting-Hao K. Huang, and Lun-Wei Ku The 2020 Conference on Empirical Methods in Natural Language Processing EMNLP 2020
10. CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset Ting-Hao K. Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles The ACL 2020 workshop on Natural Language Processing for COVID-19 NLP COVID-19 Workshop
11. Heteroglossia: In-Situ Story Ideation with the Crowd Chieh-Yang Huang, Shih-Hong Huang, and Ting-Hao (Kenneth) Huang The ACM CHI Conference on Human Factors in Computing Systems 2020 CHI 2020
12. From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences Chieh-Yang Huang, Yi-Ting Huang, Mei-Hua Chen, and Lun-Wei Ku The 14th Workshop on Innovative Use of NLP for Building Educational Applications BEA 2019
13. Visual Story Post-Editing Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, and Ting-Hao Kenneth Huang The 57th Annual Meeting of the Association for Computational Linguistics. ACL 2019
14. Location Prediction for Tweets Chieh-Yang Huang, Hanghang Tong, Jingrui He, and Ross Maciejewski Frontiers in Big Data
15. EmotionPush: Emotion and Response Time Prediction Towards Human-Like Chatbots Chieh-Yang Huang and Lun-Wei Ku 2018 IEEE GLobal Communications Conference GLOBECOM 2018
16. MoodSwipe: A Soft Keyboard that Suggests Messages Based on User-Specified Emotions Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao Kenneth Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, Lun-Wei Ku Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. EMNLP 2017
17. Towards a Better Learning of Near-Synonyms: Automatically Suggesting Example Sentences via Fill in the Blank Chieh-Yang Huang, Mei-Hua Chen, and Lun-Wei Ku Proceedings of the 26th International Conference on World Wide Web Companion. WWW 2017
18. Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications Chieh-Yang Huang, Ting-Hao Kenneth Huang, and Lun-Wei Ku 2017 AAAI Spring Symposium Series. 2017 AAAI SSS
19. Automatically Suggesting Example Sentences of Near-Synonyms for Language Learners. Chieh-Yang Huang and Lun-Wei Ku Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations. COLING 2016
20. GiveMeExample: Learning confusing words by example sentences Chieh-Yang Huang and Lun-Wei Ku Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining: System Demostrations. ASONAM 2016