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

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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)On Automating Conversations.. CoRR, (2019)Knowledge-Enriched Visual Storytelling., , , , , , and . AAAI, page 7952-7960. AAAI Press, (2020)Predicting Opinion Dependency Relations for Opinion Analysis., , and . IJCNLP, page 345-353. The Association for Computer Linguistics, (2011)SciCap: Generating Captions for Scientific Figures., , and . EMNLP (Findings), page 3258-3264. Association for Computational Linguistics, (2021)Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization., , , , , , , , and . INLG, page 80-92. Association for Computational Linguistics, (2023)Empowering local communities using artificial intelligence., , , , , and . Patterns, 3 (3): 100449 (2022)Heteroglossia: In-Situ Story Ideation with the Crowd., , and . CHI, page 1-12. ACM, (2020)Empowering Local Communities Using Artificial Intelligence., , , , , and . CoRR, (2021)