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Low-Resource Language Modelling of South African Languages
Language models are the foundation of current neural network-based model...
04/01/2021 ∙ by Stuart Mesham, et al. ∙
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Canonical and Surface Morphological Segmentation for Nguni Languages
Morphological Segmentation involves decomposing words into morphemes, th...
04/01/2021 ∙ by Tumi Moeng, et al. ∙
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BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
The principle of the Information Bottleneck (Tishby et al. 1999) is to p...
09/16/2019 ∙ by Peter West, et al. ∙
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Neural Text Generation from Rich Semantic Representations
We propose neural models to generate high-quality text from structured r...
04/25/2019 ∙ by Valerie Hajdik, et al. ∙
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The Curious Case of Neural Text Degeneration
Despite considerable advancements with deep neural language models, the ...
04/22/2019 ∙ by Ari Holtzman, et al. ∙
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Learning to Write with Cooperative Discriminators
Recurrent Neural Networks (RNNs) are powerful autoregressive sequence mo...
05/16/2018 ∙ by Ari Holtzman, et al. ∙
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Robust Incremental Neural Semantic Graph Parsing
Parsing sentences to linguistically-expressive semantic representations ...
04/24/2017 ∙ by Jan Buys, et al. ∙
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Online Segment to Segment Neural Transduction
We introduce an online neural sequence to sequence model that learns to ...
09/26/2016 ∙ by Lei Yu, et al. ∙
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Cross-Lingual Morphological Tagging for Low-Resource Languages
Morphologically rich languages often lack the annotated linguistic resou...
06/14/2016 ∙ by Jan Buys, et al. ∙
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