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Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition ...
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Abstract:
Named entity recognition (NER) is the process of recognising and classifying important information (entities) in text. Proper nouns, such as a person's name, an organization's name, or a location's name, are examples of entities. The NER is one of the important modules in applications like human resources, customer support, search engines, content classification, and academia. In this work, we consider NER for low-resource Indian languages like Hindi and Marathi. The transformer-based models have been widely used for NER tasks. We consider different variations of BERT like base-BERT, RoBERTa, and AlBERT and benchmark them on publicly available Hindi and Marathi NER datasets. We provide an exhaustive comparison of different monolingual and multilingual transformer-based models and establish simple baselines currently missing in the literature. We show that the monolingual MahaRoBERTa model performs the best for Marathi NER whereas the multilingual XLM-RoBERTa performs the best for Hindi NER. We also perform ... : Accepted at ICMISC 2022 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.2203.12907 https://arxiv.org/abs/2203.12907
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Informative Causality Extraction from Medical Literature via Dependency-tree based Patterns ...
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TOTAL PHYSICAL RESPONSE (TPR) IS THE MOST EFFECTIVE METHOD FOR LEARNING FOREIGN LANGUAGES ...
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L'alternance Codique Dans Des Interactions En Classe De Français Langue Étrangère : Le Cycle Secondaire Qualifiant ...
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TOTAL PHYSICAL RESPONSE (TPR) IS THE MOST EFFECTIVE METHOD FOR LEARNING FOREIGN LANGUAGES ...
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L'alternance Codique Dans Des Interactions En Classe De Français Langue Étrangère : Le Cycle Secondaire Qualifiant ...
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THE USE OF INFORMATION TECHNOLOGY IN THE PROCESS OF ASSESSMENTS OF LEGAL TERMINOLOGY ...
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THE USE OF INFORMATION TECHNOLOGY IN THE PROCESS OF ASSESSMENTS OF LEGAL TERMINOLOGY ...
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Intoxication and pitch control in tonal and non-tonal language speakers ...
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WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ...
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A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
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Including Facial Expressions in Contextual Embeddings for Sign Language Generation ...
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