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1
Quality Assurance of Generative Dialog Models in an Evolving Conversational Agent Used for Swedish Language Practice ...
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2
Improve Sentence Alignment by Divide-and-conquer ...
Zhang, Wu. - : arXiv, 2022
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3
A Neural Pairwise Ranking Model for Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022
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4
SMDT: Selective Memory-Augmented Neural Document Translation ...
Zhang, Xu; Yang, Jian; Huang, Haoyang. - : arXiv, 2022
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5
Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks ...
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6
Learning the Ordering of Coordinate Compounds and Elaborate Expressions in Hmong, Lahu, and Chinese ...
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7
Modeling Intensification for Sign Language Generation: A Computational Approach ...
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8
A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ...
Abstract: Sign language recognition from sequences of monocular images or 2D poses is a challenging field, not only due to the difficulty to infer 3D information from 2D data, but also due to the temporal relationship between the sequences of information. Additionally, the wide variety of signs and the constant need to add new ones on production environments makes it infeasible to use traditional classification techniques. We propose a novel Contrastive Transformer-based model, which demonstrate to learn rich representations from body key points sequences, allowing better comparison between vector embedding. This allows us to apply these techniques to perform one-shot or few-shot tasks, such as classification and translation. The experiments showed that the model could generalize well and achieved competitive results for sign classes never seen in the training process. ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/2204.02803
https://dx.doi.org/10.48550/arxiv.2204.02803
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9
Open Source HamNoSys Parser for Multilingual Sign Language Encoding ...
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10
A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets ...
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11
Sign Language Video Retrieval with Free-Form Textual Queries ...
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12
pNLP-Mixer: an Efficient all-MLP Architecture for Language ...
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13
ParaNames: A Massively Multilingual Entity Name Corpus ...
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14
Listening to Affected Communities to Define Extreme Speech: Dataset and Experiments ...
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15
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation ...
Chen, Liang; Xu, Runxin; Chang, Baobao. - : arXiv, 2022
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16
Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information ...
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17
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation ...
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18
IndicXNLI: Evaluating Multilingual Inference for Indian Languages ...
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19
MMTAfrica: Multilingual Machine Translation for African Languages ...
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20
mGPT: Few-Shot Learners Go Multilingual ...
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