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Cross-lingual few-shot hate speech and offensive language detection using meta learning
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In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559484 ; IEEE Access, IEEE, 2022, 10, pp.14880-14896. ⟨10.1109/ACCESS.2022.3147588⟩ (2022)
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FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ...
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Unsupervised quantification of entity consistency between photos and text in real-world news ...
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Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022
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EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0
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О ЛЕКСИКО-ГРАММАТИЧЕСКИХ РАЗРЯДАХ ИМЕН СУЩЕСТВИТЕЛЬНЫХ В ТАБАСАРАНСКОМ ЯЗЫКЕ ... : ABOUT LEXICAL AND GRAMMATICAL CATEGORIES OF NOUNS IN THE TABASARAN LANGUAGE ...
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Multi language Email Classification Using Transfer learning
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Abstract:
In recent years Artificial Intelligence has become a core part of many businesses, from manufacturers to service providers, AI can be found helping to improve business processes as well as providing customized experiences and support for the customers. Natural language processing gives computers the ability to understand human language, recent breakthroughs in multilingual models bring us closer to overcome language barriers and achieve various tasks regardless of the language. This brings to companies the opportunity to process data and provide services to customers regardless of their language. In this dissertation, we review the progress of NLP towards multilingual text classification, our results suggest that using a machine translation to augment our corpora is a suitable approach to fine-tune multi-language models like XLM-Roberta, obtaing better results than zero-shot approaches. Our results also suggest that in domain pre-training can help to increase the performance of the classification for both monolingual and multi-language classifiers ; Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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Keyword:
Customer Support; Deep Learning; Multi-Language Text Classification; Natural Language Processing; Supervised Machine Learning; Text Classification
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URL: http://hdl.handle.net/10362/134446
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Mining an English-Chinese parallel Dataset of Financial News
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In: Journal of Open Humanities Data; Vol 8 (2022); 9 ; 2059-481X (2022)
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Discriminating Bacterial Infection from Other Causes of Fever Using Body Temperature Entropy Analysis
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In: Entropy; Volume 24; Issue 4; Pages: 510 (2022)
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The Multilingual Pragmatics of New Englishes: An Analysis of Question Tags in Nigerian English
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The phonetics and phonology of Hong Kong English: a study of fricatives
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Code: Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ...
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Code: Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ...
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Addressing multilingualism in the GoTriple discovery platform ...
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Addressing multilingualism in the GoTriple discovery platform ...
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The Terms of “You(s)”: How the Term of Address Used by Conversational Agents Influences User Evaluations in French and German Linguaculture ...
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'Muscles of mussels' and 'hooks of bananas' - the (incipient) numeral classifier system of Ugare (Tivoid, Cameroon/Nigeria) ...
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Towards reconstructing a Proto-Tivoid numeral classifier system ...
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Measuring Semantic Similarity of Documents by Using Named Entity Recognition Methods
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In: Masters (2022)
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