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1
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis ...
Wang, Zexun; Le, Yuquan; Zhu, Yi. - : arXiv, 2022
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2
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages ...
Lu, Xinyu; Qiang, Jipeng; Li, Yun. - : arXiv, 2021
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3
An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages ...
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4
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification ...
Zhu, Yi; Shareghi, Ehsan; Li, Yingzhen. - : arXiv, 2021
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5
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
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6
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ...
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7
LSBert: A Simple Framework for Lexical Simplification ...
Qiang, Jipeng; Li, Yun; Zhu, Yi. - : arXiv, 2020
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8
Assessment of a biofluid mechanics-based model for calculating portal pressure in canines
In: BMC Vet Res (2020)
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9
Facing the challenges in ophthalmology clerkship teaching: Is flipped classroom the answer?
Abstract: Recent reform of medical education highlights the growing concerns about the capability of the current educational model to equip medical school students with essential skills for future career development. In the field of ophthalmology, although many attempts have been made to address the problem of the decreasing teaching time and the increasing load of course content, a growing body of literature indicates the need to reform the current ophthalmology teaching strategies. Flipped classroom is a new pedagogical model in which students develop a basic understanding of the course materials before class, and use in-class time for learner-centered activities, such as group discussion and presentation. However, few studies have evaluated the effectiveness of the flipped classroom in ophthalmology education. This study, for the first time, assesses the use of flipped classroom in ophthalmology, specifically glaucoma and ocular trauma clerkship teaching. A total number of 44 international medical school students from diverse background were enrolled in this study, and randomly divided into two groups. One group took the flipped glaucoma classroom and lecture-based ocular trauma classroom, while the other group took the flipped ocular trauma classroom and lecture-based glaucoma classroom. In the traditional lecture-based classroom, students attended the didactic lecture and did the homework after class. In the flipped classroom, students were asked to watch the prerecorded lectures before the class, and use the class time for homework discussion. Both the teachers and students were asked to complete feedback questionnaires after the classroom. We found that the two groups did not show differences in the final exam scores. However, the flipped classroom helped students to develop skills in problem solving, creative thinking and team working. Also, compared to the lecture-based classroom, both teachers and students were more satisfied with the flipped classroom. Interestingly, students had a more positive attitude towards the flipped ocular trauma classroom than the flipped glaucoma classroom regarding the teaching process, the course materials, and the value of the classroom. Therefore, the flipped classroom model in ophthalmology teaching showed promise as an effective approach to promote active learning.
Keyword: Research Article
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5383227/
http://www.ncbi.nlm.nih.gov/pubmed/28384167
https://doi.org/10.1371/journal.pone.0174829
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10
Dependency Parsing for Tweets
Zhu, Yi. - 2017
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11
The Interpretation of Chinese Couplets' Syntactic Features: A Comparative Study of Two English Translation Versions of Xiyou Ji**
Zhu, Yi. - : The University of Queensland, School of Languages and Cultures, 2015
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12
OntoPDF: using a text mining pipeline to generate enriched PDF versions of scientific papers
In: Zhu, Yi; Rinaldi, Fabio (2014). OntoPDF: using a text mining pipeline to generate enriched PDF versions of scientific papers. In: 6th International Symposium on Semantic Mining in Biomedicine, Aveiro, Portugal, 6 October 2014 - 7 October 2014, 85-89. (2014)
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