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05/24/2022
Face2Text revisited: Improved data set and baseline results
Current image description generation models do not transfer well to the ...
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05/21/2022
Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese
Multilingual language models such as mBERT have seen impressive cross-li...
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09/14/2021
On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning
Recent work has shown evidence that the knowledge acquired by multilingu...
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05/14/2021
Automated segmentation of microtomography imaging of Egyptian mummies
Propagation Phase Contrast Synchrotron Microtomography (PPC-SRμCT) is th...
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11/09/2019
On Architectures for Including Visual Information in Neural Language Models for Image Description
A neural language model can be conditioned into generating descriptions ...
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09/21/2019
Visuallly Grounded Generation of Entailments from Premises
Natural Language Inference (NLI) is the task of determining the semantic...
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01/01/2019
Transfer learning from language models to image caption generators: Better models may not transfer better
When designing a neural caption generator, a convolutional neural networ...
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10/12/2018
Quantifying the amount of visual information used by neural caption generators
This paper addresses the sensitivity of neural image caption generators ...
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10/12/2018
Pre-gen metrics: Predicting caption quality metrics without generating captions
Image caption generation systems are typically evaluated against referen...
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06/14/2018
Grounded Textual Entailment
Capturing semantic relations between sentences, such as entailment, is a...
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03/10/2018
Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions
The past few years have witnessed renewed interest in NLP tasks at the i...
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08/07/2017
What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?
In neural image captioning systems, a recurrent neural network (RNN) is ...
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03/27/2017