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Improving Word Translation via Two-Stage Contrastive Learning ...
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The MultimorbiditY COllaborative Medication Review And DEcision Making (MyComrade) study: a protocol for a cross-border pilot cluster randomised controlled trial
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In: Pilot Feasibility Stud (2022)
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"Non-linguistic" Browning : meter and music in "Pietro of Abano"
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“Non-linguistic” Browning: Meter and music in “Pietro of Abano”
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5240 ; 2473-8689 (2022)
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Observation of new excited ${B} ^0_{s} $ states
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-03010999 ; Eur.Phys.J.C, 2021, 81 (7), pp.601. ⟨10.1140/epjc/s10052-021-09305-3⟩ (2021)
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Infective Endocarditis in Patients on Chronic Hemodialysis
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In: ISSN: 0735-1097 ; Journal of the American College of Cardiology ; https://hal.archives-ouvertes.fr/hal-03369871 ; Journal of the American College of Cardiology, Elsevier, 2021, 77 (13), pp.1629-1640. ⟨10.1016/j.jacc.2021.02.014⟩ (2021)
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Plan-then-Generate: Controlled Data-to-Text Generation via Planning ...
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Plan-then-Generate: Controlled Data-to-Text Generation via Planning ...
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Prix-LM: Pretraining for Multilingual Knowledge Base Construction ...
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Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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Language and ethnobiological skills decline precipitously in Papua New Guinea, the world's most linguistically diverse nation
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MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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Visually Grounded Reasoning across Languages and Cultures ...
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Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
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MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models ...
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Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
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Visually Grounded Reasoning across Languages and Cultures ...
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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 {R}easoning over {V}ision and {L}anguage (MaRVL) by eliciting statements from ... : EMNLP 2021; Fangyu and Emanuele contributed equally; MaRVL website: https://marvl-challenge.github.io ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2109.13238 https://arxiv.org/abs/2109.13238
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