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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 18 of 18 1 MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ... Li, Yichuan; Jiang, Bohan; Shu, Kai. - : Zenodo, 2021 BASE Show details 2 MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ... Li, Yichuan; Jiang, Bohan; Shu, Kai. - : Zenodo, 2021 BASE Show details 3 Text Adjuncts and Comprehension with University Level Second Language Readers ... Liu, Huan. - : Washington University in St. Louis, 2021 BASE Show details 4 Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cheng, Lu; Hall, Deborah. - : Underline Science Inc., 2021 BASE Show details 5 Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ding , Kaize; Fan, Xing. - : Underline Science Inc., 2021 BASE Show details 6 "Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis ... Karami, Mansooreh; Mosallanezhad, Ahmadreza; Mancenido, Michelle V. - : arXiv, 2021 BASE Show details 7 MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ... Li, Yichuan; Jiang, Bohan; Shu, Kai. - : arXiv, 2020 BASE Show details 8 Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation Shu, Kai; Mahudeswaran, Deepak; Wang, Suhang... In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 14 (2020): Fourteenth International AAAI Conference on Web and Social Media; 626-637 ; 2334-0770 ; 2162-3449 (2020) BASE Show details 9 The Chinese Version of Rochester Participatory Decision-Making Scale (RPAD): Reliability and Validity Guo, Xufang; Liu, Huan; Shih, Yian; Wang, Cheng; Gao, Chuan; He, Zhong In: Evid Based Complement Alternat Med (2020) Abstract: AIM: This study aims to translate the Rochester Participatory Decision-Making Scale (RPAD) into the Chinese language and to test the reliability and validity of the Chinese version of the scale in the gynecological clinic. METHODS: After obtaining the permission of the original author, the Brislin translation model was used to forward-translation and back-translation. Then, an expert group was set up to discuss this scale and result in cross-cultural adaptation. A convenient sampling method was used to select ten doctors working in the gynecological clinic of two top-three hospitals and 20 patients of each doctor. The Rochester Decision Participation Scale was used by the Chinese version for investigation. RESULTS: The Chinese version of the Rochester Participatory Decision-Making Scale has a Cronbach's α coefficient of 0.604 for the total content reliability, the Spearman–Brown coefficient of half-reliability is 0.646, and the Guttman coefficient of half-reliability is 0.612. The retest reliability is 0.922. By exploratory factor analysis, the scale extracted three common factors, and the standard factor load corresponding to each entry is higher than 0.4. CONCLUSION: The reliability and validity of the Chinese version in the Rochester Participatory Decision-Making Scale are acceptable, which can be used to evaluate doctors “promotion of patients” participation in decision-making. Keyword: Research Article URL: http://www.ncbi.nlm.nih.gov/pubmed/33381201 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749781/ https://doi.org/10.1155/2020/4343815 BASE Hide details 10 Probabilistic Relational Supervised Topic Modelling using Word Embeddings Al-Ani, Jabir Alshehabi; Fasli, Maria. - : IEEE, 2019 BASE Show details 11 SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification [<Journal>] Liu, Huan [Sonstige]; Morstatter, Fred [Sonstige]; Wu, Liang [Verfasser] DNB Subject Category Language Show details 12 Identifying Rhetorical Questions in Social Media Liu, Huan; Tang, Jiliang; Hu, Xia... In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 10 No. 1 (2016): Tenth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2016) BASE Show details 13 A Study on College English Teaching System Characterized by Need-Oriented Cultivation and Personalized Development: Illustrated by the Reform Practice in China University of Petroleum CHEN, Xiaoxin; LIU, Huan In: Studies in Literature and Language; Vol 10, No 4 (2015): Studies in Literature and Language; 115-123 ; 1923-1563 ; 1923-1555 (2015) BASE Show details 14 Finding Eyewitness Tweets During Crises ... Morstatter, Fred; Lubold, Nichola; Pon-Barry, Heather. - : arXiv, 2014 BASE Show details 15 Invited Speaker Support for SBP Conference Series (SBP 2014) held in April, 2014 in Washington, DC. Liu, Huan; Cioffi-Revilla,Claudio. - 2014 BASE Show details 16 WisColl: Collective wisdom based blog clustering Agarwal, Nitin; Galan, Magdiel; Liu, Huan... In: Information sciences. - New York, NY : Elsevier Science Inc. 180 (2010) 1, 39-61 OLC Linguistik Show details 17 Some current issues of streaming data mining Zhang, Jianping; Liu, Huan; Wang, Paul P. In: Information sciences. - New York, NY : Elsevier Science Inc. 176 (2006) 14, 1949-1951 OLC Linguistik Show details 18 Analysis of Hidden Representations by Greedy Clustering Setiono, Rudy; Liu, Huan In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 10 (1998) 1, 21-42 OLC Linguistik Show details

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