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1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages ...
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Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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3
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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4
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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5
Modelling Latent Translations for Cross-Lingual Transfer ...
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6
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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7
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions ...
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8
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval ...
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9
Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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10
Visually Grounded Reasoning across Languages and Cultures ...
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 ...
Keyword: Computer programming; Intelligent System; Machine Learning; Machine translation; Natural Language Processing; Sentiment Analysis
URL: https://dx.doi.org/10.48448/yncc-sm24
https://underline.io/lecture/38942-visually-grounded-reasoning-across-languages-and-cultures
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Visually Grounded Reasoning across Languages and Cultures ...
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12
Visually Grounded Reasoning across Languages and Cultures ...
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13
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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14
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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15
Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions ...
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16
MeDAL ...
Wen, Zhi; Lu, Xing Han; Reddy, Siva. - : Zenodo, 2020
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17
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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18
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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19
CoQA: A Conversational Question Answering Challenge
In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 249-266 (2019) (2019)
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20
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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