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Conference papers
Unsupervised Sentence Simplification Using Deep Semantics
Abstract : We present a novel approach to sentence simplification which departs from previous work in two main ways. First, it requires neither hand written rules nor a training corpus of aligned standard and simplified sentences. Second, sentence splitting operates on deep semantic structure. We show (i) that the unsupervised framework we propose is competitive with four state-of-the-art supervised systems and (ii) that our semantic based approach allows for a principled and effective handling of sentence splitting.
Cited literature [25 references]
https://hal.inria.fr/hal-01623829
Contributor : Claire Gardent Connect in order to contact the contributor
Submitted on : Wednesday, October 25, 2017 - 4:58:17 PM
Last modification on : Wednesday, November 24, 2021 - 9:54:10 AM
Long-term archiving on: : Friday, January 26, 2018 - 2:52:05 PM
Contributor : Claire Gardent Connect in order to contact the contributor
Submitted on : Wednesday, October 25, 2017 - 4:58:17 PM
Last modification on : Wednesday, November 24, 2021 - 9:54:10 AM
Long-term archiving on: : Friday, January 26, 2018 - 2:52:05 PM
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