Publications

Here are the papers I have published.

1. ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing Hua Shen, Chieh-Yang Huang, Tongshuang Wu, and Ting-Hao K. Huang.
2. 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. (*equal contribution) In the Proceedings of the 16th International Natural Language Generation Conference INLG 2023 (Github is still under construction)
3. Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers Shreya Chandrasekhar, Chieh-Yang Huang*, Ting-Hao K. Huang. In The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks BioNLP 2023
4. 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. In the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems CHI LBW 2023
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. Location Prediction for Tweets Chieh-Yang Huang, Hanghang Tong, Jingrui He, and Ross Maciejewski Frontiers in Big Data
17. EmotionPush: Emotion and Response Time Prediction Towards Human-Like Chatbots Chieh-Yang Huang and Lun-Wei Ku 2018 IEEE GLobal Communications Conference GLOBECOM 2018
18. 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
19. 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
20. 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
21. 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
22. 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