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1
Challenges and Strategies in Cross-Cultural NLP ...
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2
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages ...
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3
Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers ...
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4
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs ...
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5
Multimodal pretraining unmasked: A meta-analysis and a unified framework of vision-and-language berts ...
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6
Visually Grounded Reasoning across Languages and Cultures ...
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7
On Language Models for Creoles ...
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8
Visually Grounded Reasoning across Languages and Cultures ...
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9
Multimodal pretraining unmasked: A meta-analysis and a unified framework of vision-and-language berts
In: Transactions of the Association for Computational Linguistics, 9 (2021)
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10
The Role of Syntactic Planning in Compositional Image Captioning ...
Abstract: Image captioning has focused on generalizing to images drawn from the same distribution as the training set, and not to the more challenging problem of generalizing to different distributions of images. Recently, Nikolaus et al. (2019) introduced a dataset to assess compositional generalization in image captioning, where models are evaluated on their ability to describe images with unseen adjective-noun and noun-verb compositions. In this work, we investigate different methods to improve compositional generalization by planning the syntactic structure of a caption. Our experiments show that jointly modeling tokens and syntactic tags enhances generalization in both RNN- and Transformer-based models, while also improving performance on standard metrics. ... : Accepted at EACL 2021 ...
Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2101.11911
https://arxiv.org/abs/2101.11911
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11
On Language Models for Creoles ...
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12
Visually Grounded Reasoning across Languages and Cultures ...
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13
It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information ...
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14
It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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