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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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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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An Empirical Study of Factors Affecting Language-Independent Models
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Abstract:
Scaling existing applications and solutions to multiple human languages has traditionally proven to be difficult, mainly due to the language-dependent nature of preprocessing and feature engineering techniques employed in traditional approaches. In this work, we empirically investigate the factors affecting language-independent models built with multilingual representations, including task type, language set and data resource. On two most representative Natural Language Processing tasks --- sentence classification and sequence labeling, we show that language-independent models can be comparable to or even outperforms the models trained using monolingual data, and they are generally more effective on sentence classification. We experiment language-independent models with many different languages and show that they are more suitable for typologically similar languages. We also explore the effects of different data sizes when training and testing language-independent models, and demonstrate that they are not only suitable for high-resource languages, but also very effective in low-resource languages.
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Keyword:
Analytics Technologies for Industry Platforms; Business Intelligence; Case studies of Artificial Intelligence; case study; multilingual ai; natural language processing; transfer learning
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URL: https://doi.org/10.24251/HICSS.2022.149 http://hdl.handle.net/10125/79481
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Graph Algorithms for Multiparallel Word Alignment
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; The 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03424044 ; The 2021 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2021, Punta Cana, Dominica ; https://2021.emnlp.org/ (2021)
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Multilingual Email Zoning - Segmenting Multilingual Email Text Into Zones
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DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction ...
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DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction ...
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Improving Multilingual Models for the Swedish Language : Exploring CrossLingual Transferability and Stereotypical Biases
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Extending a Text Classifier to Multiple Languages ; Utöka en textklassificeringsmodell till flera språk
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Byström, Albin. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021
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Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning ...
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Analyzing Non-Textual Content Elements to Detect Academic Plagiarism
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Resourceful at Any Size: A Predictive Methodology Using Linguistic Corpus Metrics for Multi-Source Training in Neural Dependency Parsing
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The impact of distributed neural machine translation in sentiment analysis ...
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Multilingual Transformer-Based Personality Traits Estimation
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In: Information ; Volume 11 ; Issue 4 (2020)
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Understanding Word Embedding Stability Across Languages and Applications
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Best Practices of Convolutional Neural Networks for Question Classification
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Inductive Bias and Modular Design for Sample-Efficient Neural Language Learning
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SberQuAD – Russian Reading Comprehension Dataset: Description and Analysis
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020)
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Unsupervised Multilingual Alignment using Wasserstein Barycenter
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Prediction of Alzheimer's disease and semantic dementia from scene description: toward better language and topic generalization
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