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1
Cross-media Scientific Research Achievements Query based on Ranking Learning ...
Wang, Benzhi; Liang, Meiyu; Li, Ang. - : arXiv, 2022
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2
Stigmatizing Attitudes Across Cybersuicides and Offline Suicides: Content Analysis of Sina Weibo
In: J Med Internet Res (2022)
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3
Comparative Anaphora: comparing alternatives
In: Semantics and Linguistic Theory; Proceedings of SALT 31; 484-505 ; 2163-5951 (2022)
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4
Laryngeal Helicobacter pylori Infection and Laryngeal Cancer-Case Series and a Systematic Review
In: Microorganisms ; Volume 9 ; Issue 6 (2021)
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5
Laryngeal Helicobacter pylori Infection and Laryngeal Cancer-Case Series and a Systematic Review
In: Microorganisms (2021)
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6
How fear and collectivism influence public’s preventive intention towards COVID-19 infection: a study based on big data from the social media
In: BMC Public Health (2020)
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7
On the semantic of verbal classifiers
In: CLS 54, 2018 : proceedings of the fifty-fourth annual meeting of the Chicago Linguistic Society (2019), S. 261-269
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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8
A Psycholinguistic Analysis of Responses to Live-Stream Suicides on Social Media
Li, Ang; Jiao, Dongdong; Liu, Xingyun. - : MDPI, 2019
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9
Data for: Detecting depression stigma on social media: a linguistic analysis ...
Li, Ang. - : Mendeley, 2018
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10
Data for: Detecting depression stigma on social media: a linguistic analysis ...
Li, Ang. - : Mendeley, 2018
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11
Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation ...
Yu, Ruichi; Li, Ang; Morariu, Vlad I.. - : arXiv, 2017
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12
Recognizing Temporal Linguistic Expression Pattern of Individual with Suicide Risk on Social Media ...
Zhang, Aiqi; Li, Ang; Zhu, Tingshao. - : arXiv, 2015
Abstract: Suicide is a global public health problem. Early detection of individual suicide risk plays a key role in suicide prevention. In this paper, we propose to look into individual suicide risk through time series analysis of personal linguistic expression on social media (Weibo). We examined temporal patterns of the linguistic expression of individuals on Chinese social media (Weibo). Then, we used such temporal patterns as predictor variables to build classification models for estimating levels of individual suicide risk. Characteristics of time sequence curves to linguistic features including parentheses, auxiliary verbs, personal pronouns and body words are reported to affect performance of suicide most, and the predicting model has a accuracy higher than 0.60, shown by the results. This paper confirms the efficiency of the social media data in detecting individual suicide risk. Results of this study may be insightful for improving the performance of suicide prevention programs. ... : 16 pages, 6 figures ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Social and Information Networks cs.SI
URL: https://dx.doi.org/10.48550/arxiv.1511.09173
https://arxiv.org/abs/1511.09173
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13
Audiovisual Speech Perception at Various Presentation Levels in Mandarin-Speaking Adults with Cochlear Implants
Liu, Shu-Yu; Yu, Grace; Lee, Li-Ang. - : Public Library of Science, 2014
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14
Environmental Sounds Recognition in Children with Cochlear Implants
Liu, Shu-Yu; Liu, Tien-Chen; Teng, Ya-Ling. - : Public Library of Science, 2013
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15
A Study on the English Translation of Eroticism: The Case of Li Ang’s Sha Fu
In: http://www.inter-disciplinary.net/wp-content/uploads/2009/10/wupaper1.pdf
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