Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs

IJCNLP 2017 Fern Alva-ManchegooJoachim BingelGustavo PaetzoldCarolina ScartonLucia Specia

Current research in text simplification has been hampered by two central problems: (i) the small amount of high-quality parallel simplification data available, and (ii) the lack of explicit annotations of simplification operations, such as deletions or substitutions, on existing data. While the recently introduced Newsela corpus has alleviated the first problem, simplifications still need to be learned directly from parallel text using black-box, end-to-end approaches rather than from explicit annotations... (read more)

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