Split and Rephrase

8 papers with code • 1 benchmarks • 1 datasets

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Datasets


Most implemented papers

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

huggingface/transformers 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 IJCNLP 2019

We propose LaserTagger - a sequence tagging approach that casts text generation as a text editing task.

Split and Rephrase

shashiongithub/Split-and-Rephrase EMNLP 2017

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

biu-nlp/sprp-acl2018 2 May 2018

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

biu-nlp/sprp-acl2018 ACL 2018

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

LFavano/Automated-Fact-Checking-System EMNLP 2018

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

mounicam/bisect EMNLP 2021

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.