Split and Rephrase
8 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Split and Rephrase
| Trend | Dataset | Best Model | Paper | Code | Compare |
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WikiSplit
Most implemented papers
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
huggingface/transformers
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TACL 2020
Unsupervised pre-training of large neural models has recently revolutionized Natural Language Processing.
Encode, Tag, Realize: High-Precision Text Editing
google-research/lasertagger
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IJCNLP 2019
We propose LaserTagger - a sequence tagging approach that casts text generation as a text editing task.
Split and Rephrase
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.
Split and Rephrase: Better Evaluation and a Stronger Baseline
To aid this, we present a new train-development-test data split and neural models augmented with a copy-mechanism, outperforming the best reported baseline by 8. 68 BLEU and fostering further progress on the task.
Split and Rephrase: Better Evaluation and Stronger Baselines
To aid this, we present a new train-development-test data split and neural models augmented with a copy-mechanism, outperforming the best reported baseline by 8. 68 BLEU and fostering further progress on the task.
Learning To Split and Rephrase From Wikipedia Edit History
Split and rephrase is the task of breaking down a sentence into shorter ones that together convey the same meaning.
BiSECT: Learning to Split and Rephrase Sentences with Bitexts
We categorize examples in our corpus, and use these categories in a novel model that allows us to target specific regions of the input sentence to be split and edited.
