Unsupervised Sentence Simplification Using Deep Semantics
2015-07-30WS 2016Code Available0· sign in to hype
Shashi Narayan, Claire Gardent
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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.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| PWKP / WikiSmall | UNSUP | BLEU | 38.47 | — | Unverified |