publication . Conference object . Article . 2018

Learning Simplifications for Specific Target Audiences

Carolina Scarton; Lucia Specia;
Open Access
  • Published: 15 Jul 2018
Abstract
Text simplification (TS) is a monolingual text-to-text transformation task where an original (complex) text is transformed into a target (simpler) text. Most recent work is based on sequence-to-sequence neural models similar to those used for machine translation (MT). Different from MT, TS data comprises more elaborate transformations, such as sentence splitting. It can also contain multiple simplifications of the same original text targeting different audiences, such as school grade levels. We explore these two features of TS to build models tailored for specific grade levels. Our approach uses a standard sequence-to-sequence architecture where the original seq...
Subjects
free text keywords: Computer science, Natural language processing, computer.software_genre, computer, Target audience, Training set, Machine translation, Artificial intelligence, business.industry, business, Sentence, Architecture, Text simplification
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Funded by
EC| SIMPATICO
Project
SIMPATICO
SIMplifying the interaction with Public Administration Through Information technology for Citizens and cOmpanies
  • Funder: European Commission (EC)
  • Project Code: 692819
  • Funding stream: H2020 | RIA
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Open Access
https://dx.doi.org/10.5281/zen...
Conference object . 2018
Provider: Datacite
Open Access
ZENODO
Conference object . 2018
Provider: ZENODO
Open Access
https://dx.doi.org/10.5281/zen...
Conference object . 2018
Provider: Datacite
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