2017
ACL
ACL 2017
Sentence Alignment Methods for Improving Text Simplification Systems
Abstract
AbstractWe provide several methods for sentence-alignment of texts with different complexity levels. Using the best of them, we sentence-align the Newsela corpora, thus providing large training materials for automatic text simplification (ATS) systems. We show that using this dataset, even the standard phrase-based statistical machine translation models for ATS can outperform the state-of-the-art ATS systems.
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Trend Setter
— Text Generation
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Keyword Pioneer
— sentence alignment
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Cross-Pollinator
— Artificial Intelligence, Data Science & Analytics, Interdisciplinary, Machine Learning, Natural Language Processing, Speech & Audio
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Interdisciplinary Bridge
— Machine Learning and Natural Language Processing
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Hot Topic Early Bird
— parallel corpus