Results 51 to 60 of about 99,416 (166)
Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022 Multilingual pre-trained language models, such as mBERT and XLM-R, have shown impressive cross-lingual ability. Surprisingly, both of them use multilingual masked language model (MLM) without any cross-lingual supervision or aligned data. Despite the encouraging results, we still lack a clear understanding of why cross-lingual ability could emerge from
Chai, Yuan, Liang, Yaobo, Duan, Nan
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An Evaluation of Multilingual Offensive Language Identification Methods for the Languages of India
Information, 2021 The pervasiveness of offensive content in social media has become an important reason for concern for online platforms. With the aim of improving online safety, a large number of studies applying computational models to identify such content have been ...
Tharindu Ranasinghe, Marcos Zampieri
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Cloud service localisation [PDF]
, 2012 The essence of cloud computing is the provision of software and hardware services to a range of users in dierent locations. The aim of cloud service localisation is to facilitate the internationalisation and localisation of cloud services by allowing ...
C. Pahl +7 more
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An Empirical Study of Cross-Lingual Transferability in Generative Dialogue State Tracker
, 2021 There has been a rapid development in data-driven task-oriented dialogue systems with the benefit of large-scale datasets. However, the progress of dialogue systems in low-resource languages lags far behind due to the lack of high-quality data. To advance the cross-lingual technology in building dialog systems, DSTC9 introduces the task of cross ...
Lin, Yen-Ting, Chen, Yun-Nung
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Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 Curriculum Learning (CL) is a technique of training models via ranking examples in a typically increasing difficulty trend with the aim of accelerating convergence and improving generalisability. Current approaches for Natural Language Understanding (NLU) tasks use CL to improve in-distribution data performance often via heuristic-oriented or task ...
Christopoulou, Fenia +2 more
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BMC Psychiatry, 2023 Background Neurological soft signs (NSS) are often reported in patients with schizophrenia and may vary with psychopathological symptoms during the course of disease.
Li Kong +3 more
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Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning
, 2019 While billions of non-English speaking users rely on search engines every day, the problem of ad-hoc information retrieval is rarely studied for non-English languages.
B Mitra +7 more
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Training vs Post-training Cross-lingual Word Embedding Approaches: A Comparative Study
International Journal of Information Science and Management, 2023 This paper provides a comparative analysis of cross-lingual word embedding by studying the impact of different variables on the quality of the embedding models within the distributional semantics framework. Distributional semantics is a method for the semantic representation of words, phrases, sentences, and documents.
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Ongoing Events in Wikipedia [PDF]
Proceedings of the 2017 ACM on Web Science Conference, 2017 In order to effectively analyze information regarding ongoing events that impact local communities across language and country borders, researchers often need to perform multilingual data analysis. This analysis can be particularly challenging due to the rapidly evolving event-centric data and the language barrier.
Gottschalk, S. +3 more
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Brazilian Journal of Otorhinolaryngology, 2012 Devido aos avanços na tecnologia dos implantes cocleares e das estratégias de processamento, indivíduos com surdez grave a profunda puderam ouvir sons e reconhecer fala em diferentes graus.
Aline Gomes Bittencourt +5 more
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