Search Results for author: Fern Alva-Manchego

Found 5 papers, 2 papers with code

Data-Driven Sentence Simplification: Survey and Benchmark

no code implementations CL 2020 Fern Alva-Manchego, o, Carolina Scarton, Lucia Specia

Sentence Simplification (SS) aims to modify a sentence in order to make it easier to read and understand.

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

1 code implementation IJCNLP 2017 Fern Alva-Manchego, o, Joachim Bingel, Gustavo Paetzold, Carolina Scarton, Lucia 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.

Machine Translation Sentence Compression +1

MASSAlign: Alignment and Annotation of Comparable Documents

no code implementations IJCNLP 2017 Gustavo Paetzold, Fern Alva-Manchego, o, Lucia Specia

We introduce MASSAlign: a Python library for the alignment and annotation of monolingual comparable documents.

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