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2020 COLING COLING 2020

ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization

Abstract

AbstractIn this paper, we describe the ADAPT submission to the Surface Realization Shared Task 2020. We present a neural-based system trained on the English Web Treebank and an augmented dataset, automatically created from existing text corpora.

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning and Natural Language Processing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Henry Elder

Topics

Machine Learning > Application Areas > Data Augmentation Deep Learning > Architectures > Neural Networks Natural Language Processing > Generation > Text Generation

Keywords

data augmentation text generation surface realization neural network
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