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| 61 |
The Competitive Advantage of the Indian and Korean Film Industries: An Empirical Analysis Using Natural Language Processing Methods
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4592 (2022)
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| 62 |
Information Processing by Selective Machines
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In: Proceedings; Volume 81; Issue 1; Pages: 122 (2022)
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| 63 |
eHealth Engagement on Facebook during COVID-19: Simplistic Computational Data Analysis
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 8; Pages: 4615 (2022)
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| 64 |
Cross-Lingual Transfer Learning for Arabic Task-Oriented Dialogue Systems Using Multilingual Transformer Model mT5
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In: Mathematics; Volume 10; Issue 5; Pages: 746 (2022)
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| 65 |
Measuring Gender Bias in Contextualized Embeddings
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In: Computer Sciences & Mathematics Forum; Volume 3; Issue 1; Pages: 3 (2022)
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| 66 |
Visual and Phonological Feature Enhanced Siamese BERT for Chinese Spelling Error Correction
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4578 (2022)
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| 67 |
AraConv: Developing an Arabic Task-Oriented Dialogue System Using Multi-Lingual Transformer Model mT5
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In: Applied Sciences; Volume 12; Issue 4; Pages: 1881 (2022)
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Abstract:
Task-oriented dialogue systems (DS) are designed to help users perform daily activities using natural language. Task-oriented DS for English language have demonstrated promising performance outcomes; however, developing such systems to support Arabic remains a challenge. This challenge is mainly due to the lack of Arabic dialogue datasets. This study introduces the first Arabic end-to-end generative model for task-oriented DS (AraConv), which uses the multi-lingual transformer model mT5 with different settings. We also present an Arabic dialogue dataset (Arabic-TOD) and used it to train and test the proposed AraConv model. The results obtained are reasonable compared to those reported in the studies of English and Chinese using the same mono-lingual settings. To avoid problems associated with a small training dataset and to improve the AraConv model’s results, we suggest joint-training, in which the model is jointly trained on Arabic dialogue data and data from one or two high-resource languages such as English and Chinese. The findings indicate the AraConv model performed better in the joint-training setting than in the mono-lingual setting. The results obtained from AraConv on the Arabic dialogue dataset provide a baseline for other researchers to build robust end-to-end Arabic task-oriented DS that can engage with complex scenarios.
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Keyword:
Arabic; mT5; multi-lingual transformer model; natural language processing; task-oriented dialogue systems
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URL: https://doi.org/10.3390/app12041881
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| 68 |
An Empirical Comparison of Portuguese and Multilingual BERT Models for Auto-Classification of NCM Codes in International Trade
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 8 (2022)
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| 69 |
Contextual Semantic-Guided Entity-Centric GCN for Relation Extraction
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In: Mathematics; Volume 10; Issue 8; Pages: 1344 (2022)
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| 70 |
MetaboListem and TABoLiSTM: Two Deep Learning Algorithms for Metabolite Named Entity Recognition
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In: Metabolites; Volume 12; Issue 4; Pages: 276 (2022)
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| 71 |
Extraction of the Relations among Significant Pharmacological Entities in Russian-Language Reviews of Internet Users on Medications
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 10 (2022)
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| 72 |
X-Transformer: A Machine Translation Model Enhanced by the Self-Attention Mechanism
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In: Applied Sciences; Volume 12; Issue 9; Pages: 4502 (2022)
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| 73 |
Evaluation of Chinese Natural Language Processing System Based on Metamorphic Testing
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In: Mathematics; Volume 10; Issue 8; Pages: 1276 (2022)
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| 74 |
Retrieval-Based Transformer Pseudocode Generation
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In: Mathematics; Volume 10; Issue 4; Pages: 604 (2022)
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| 75 |
An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19
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In: Information; Volume 13; Issue 3; Pages: 137 (2022)
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| 76 |
Data of the Shared Task on the Disambiguation of German Verbal Idioms at KONVENS 2021 ...
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| 77 |
Data of the Shared Task on the Disambiguation of German Verbal Idioms at KONVENS 2021 ...
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| 78 |
Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
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| 79 |
Scripted-sentence learning in Spanish speakers (Quique et al., 2022) ...
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| 80 |
Scripted-sentence learning in Spanish speakers (Quique et al., 2022) ...
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