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1
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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2
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
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5
French Geolinguistics and Linguistic Atlases From nascency to the status quo ...
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6
French Geolinguistics and Linguistic Atlases From nascency to the status quo ...
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7
Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path ...
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8
Engage the Public: Poll Question Generation for Social Media Posts ...
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9
#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention ...
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10
A Geolinguistic Analysis of "Oie" and "Jars" - Evidence from the Atlas Linguistique de la France - ...
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11
A Geolinguistic Analysis of "Oie" and "Jars" - Evidence from the Atlas Linguistique de la France - ...
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12
Structural Equation Modeling of Tongue Function and Tongue Hygiene in Acute Stroke Patients
In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 9 (2021)
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13
Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora ...
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14
A Proposed Dedicated Breast PET Lexicon: Standardization of Description and Reporting of Radiotracer Uptake in the Breast
In: Diagnostics (Basel) (2021)
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15
Structural Equation Modeling of Tongue Function and Tongue Hygiene in Acute Stroke Patients
In: Int J Environ Res Public Health (2021)
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16
Treatment outcomes of real-time intraoral sonography-guided implantation technique of (198)Au grain brachytherapy for T1 and T2 tongue cancer
In: J Radiat Res (2021)
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17
Evaluation of Social Cognition Measures for Japanese Patients with Schizophrenia Using an Expert Panel and Modified Delphi Method
In: J Pers Med (2021)
Abstract: Social cognition is strongly linked to social functioning outcomes, making it a promising treatment target. Because social cognition measures tend to be sensitive to linguistic and cultural differences, existing measures should be evaluated based on their relevance for Japanese populations. We aimed to establish an expert consensus on the use of social cognition measures in Japanese populations to provide grounds for clinical use and future treatment development. We assembled a panel of experts in the fields of schizophrenia, social psychology, social neuroscience, and developmental disorders. The panel engaged in a modified Delphi process to (1) affirm expert consensus on the definition of social cognition and its constituent domains, (2) determine criteria to evaluate measures, and (3) identify measures appropriate for Japanese patients with a view toward future quantitative research. Through two online voting rounds and two online video conferences, the panel agreed upon a definition and four-domain framework for social cognition consistent with recent literature. Evaluation criteria for measures included feasibility and tolerability, reliability, clinical effectiveness, validity, and international comparability. The panel finally identified nine promising measures, including one task originally developed in Japan. In conclusion, we established an expert consensus on key discussion points in social cognition and arrived at an expert-selected set of measures. We hope that this work facilitates the use of these measures in Japanese clinical scenarios. We plan to further examine these measures in a psychometric evaluation study.
Keyword: Article
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067370/
https://doi.org/10.3390/jpm11040275
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18
Validation of the General Medicine in-Training Examination Using the Professional and Linguistic Assessments Board Examination Among Postgraduate Residents in Japan
In: Int J Gen Med (2021)
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19
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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20
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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