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

, , and . CHI, page 295. ACM, (2018)

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Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches., , and . LREC, European Language Resources Association, (2010)Evorus: A Crowd-powered Conversational Assistant That Automates Itself Over Time., , , and . UIST (Adjunct Volume), page 155-157. ACM, (2017)SciCap: Generating Captions for Scientific Figures., , and . EMNLP (Findings), page 3258-3264. Association for Computational Linguistics, (2021)Predicting Opinion Dependency Relations for Opinion Analysis., , and . IJCNLP, page 345-353. The Association for Computer Linguistics, (2011)Knowledge-Enriched Visual Storytelling., , , , , , and . AAAI, page 7952-7960. AAAI Press, (2020)Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization., , , , , , , , and . INLG, page 80-92. Association for Computational Linguistics, (2023)Generating Educational Materials with Different Levels of Readability using LLMs., , and . CoRR, (2024)Dark Sides: Envisioning, Understanding, and Preventing Harmful Effects of Writing Assistants - The Third Workshop on Intelligent and Interactive Writing Assistants., , , , , , , and . CHI Extended Abstracts, page 464:1-464:6. ACM, (2024)Heteroglossia: In-Situ Story Ideation with the Crowd., , and . CHI, page 1-12. ACM, (2020)What Color Scheme is More Effective in Assisting Readers to Locate Information in a Color-Coded Article?, , and . IEEE VIS, page 291-295. IEEE, (2024)