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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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Visually Grounded Reasoning across Languages and Cultures ...
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Visually Grounded Reasoning across Languages and Cultures ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.818/ Abstract: The design of widespread vision-and-language datasets and pre-trained encoders directly adopts, or draws inspiration from, the concepts and images of ImageNet. While one can hardly overestimate how much this benchmark contributed to progress in computer vision, it is mostly derived from lexical databases and image queries in English, resulting in source material with a North American or Western European bias. Therefore, we devise a new protocol to construct an ImageNet-style hierarchy representative of more languages and cultures. In particular, we let the selection of both concepts and images be entirely driven by native speakers, rather than scraping them automatically. Specifically, we focus on a typologically diverse set of languages, namely, Indonesian, Mandarin Chinese, Swahili, Tamil, and Turkish. On top of the concepts and images obtained through this new protocol, we create a multilingual dataset for {M}ulticultur{a}l ...
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Keyword:
Data Management System; Machine Learning; Machine translation; Natural Language Processing
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URL: https://underline.io/lecture/37516-visually-grounded-reasoning-across-languages-and-cultures https://dx.doi.org/10.48448/645v-7718
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LexFit: Lexical Fine-Tuning of Pretrained Language Models ...
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Verb Knowledge Injection for Multilingual Event Processing ...
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Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity ...
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