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1
Restoring Core Values: An International Charter for Human Values in Healthcare
In: The International Journal of Whole Person Care (2022)
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2
The phonetics and phonology of Hong Kong English: a study of fricatives
Ho, S.Y.B. (Sin). - 2022
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3
Sight interpreting/translation ...
Ho, Chen-En. - : Zenodo, 2022
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4
Sight interpreting/translation ...
Ho, Chen-En. - : Zenodo, 2022
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5
Trends in Health Care Access Disparities Among Asian and Pacific Islander Health Fair Participants in Los Angeles, 2011-2019 ...
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6
Trends in Health Care Access Disparities Among Asian and Pacific Islander Health Fair Participants in Los Angeles, 2011-2019 ...
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7
Linguistic communication as (inverse) reward design ...
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8
A multi-perspective analysis of the request e-mail discourse of a team of education professionals in Hong Kong ...
Ho, Chung Kwong Victor. - : Macquarie University, 2022
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9
A multi-perspective analysis of the request e-mail discourse of a team of education professionals in Hong Kong ...
Ho, Chung Kwong Victor. - : Macquarie University, 2022
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10
Survival in Korean Patients with Frontotemporal Dementia Syndrome: Association with Behavioral Features and Parkinsonism
In: Journal of Clinical Medicine; Volume 11; Issue 8; Pages: 2260 (2022)
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11
Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System
In: Sensors; Volume 22; Issue 4; Pages: 1509 (2022)
Abstract: Successful applications of deep learning technologies in the natural language processing domain have improved text-based intent classifications. However, in practical spoken dialogue applications, the users’ articulation styles and background noises cause automatic speech recognition (ASR) errors, and these may lead language models to misclassify users’ intents. To overcome the limited performance of the intent classification task in the spoken dialogue system, we propose a novel approach that jointly uses both recognized text obtained by the ASR model and a given labeled text. In the evaluation phase, only the fine-tuned recognized language model (RLM) is used. The experimental results show that the proposed scheme is effective at classifying intents in the spoken dialogue system containing ASR errors.
Keyword: intent understanding; speech recognition; spoken dialogue system; spoken language modeling; task-oriented dialogue system
URL: https://doi.org/10.3390/s22041509
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12
Using Conceptual Recurrence and Consistency Metrics for Topic Segmentation in Debate
In: Applied Sciences; Volume 12; Issue 6; Pages: 2952 (2022)
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13
Psychometric Evaluation of the Chinese Version of a Weight-Related Eating Questionnaire Using an Item Response Theory Approach
In: Nutrients; Volume 14; Issue 8; Pages: 1627 (2022)
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14
The Effect of Integrating Service-Learning and Learning Portfolio Construction into the Curriculum of Gerontological Nursing
In: Healthcare; Volume 10; Issue 4; Pages: 652 (2022)
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15
Validation of Non-invasive Language Mapping Modalities for Eloquent Tumor Resection: A Pilot Study
In: Front Neurosci (2022)
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16
Textual Variations Affect Human Judgements of Sentiment Values
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17
Design principles and architecture of a second language learning chatbot
Kim, Heyoung; Yang, Hyejin; Shin, Dongkwang. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022
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18
Visualization of Speech Perception Analysis via Phoneme Alignment: A Pilot Study
In: Front Neurol (2022)
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19
Endolichenic Fungal Community Analysis by Pure Culture Isolation and Metabarcoding: A Case Study of Parmotrema tinctorum
In: Mycobiology (2022)
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20
Association between sleep parameters and longitudinal shortening of telomere length
In: Aging (Albany NY) (2022)
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