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Papers

Split and Rephrase

2017-07-21 · EMNLP 2017 9 · Shashi Narayan, Claire Gardent, Shay B. Cohen, Anastasia Shimorina

We propose a new sentence simplification task (Split-and-Rephrase) where the aim is to split a complex sentence into a meaning preserving sequence of shorter sentences. Like sentence simplification, splitting-and-rephrasing has the potential of benefiting both natural language processing and societal applications. Because shorter sentences are generally better processed by NLP systems, it could be used as a preprocessing step which facilitates and improves the performance of parsers, semantic role labellers and machine translation systems. It should also be of use for people with reading disabilities because it allows the conversion of longer sentences into shorter ones. This paper makes two contributions towards this new task. First, we create and make available a benchmark consisting of 1,066,115 tuples mapping a single complex sentence to a sequence of sentences expressing the same meaning. Second, we propose five models (vanilla sequence-to-sequence to semantically-motivated models) to understand the difficulty of the proposed task.

📄 PDF Abstract BibTeX arXiv:1707.06971

Code (2)

shashiongithub/Split-and-Rephrase 공식 구현
atb033/multi_agent_path_planning

Tasks

Machine TranslationSentenceSplit and RephraseTranslation

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