Split and Rephrase

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (17 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
  29 Jul 2019 7 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Unsupervised pre-training of large neural models has recently revolutionized Natural Language Processing.
• Encode, Tag, Realize: High-Precision Text Editing
  3 Sep 2019 5 repositories listed Syntology ran 2 of 11 samples · 9 unverified
  We propose LaserTagger - a sequence tagging approach that casts text generation as a text editing task.
• Split and Rephrase: Better Evaluation and a Stronger Baseline
  2 May 2018 2 repositories listed
  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.
• Split and Rephrase
  21 Jul 2017 2 repositories listed
  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.
• WikiSplit++: Easy Data Refinement for Split and Rephrase
  13 Apr 2024 1 repository listed
  The task of Split and Rephrase, which splits a complex sentence into multiple simple sentences with the same meaning, improves readability and enhances the performance of downstream tasks in natural language processing…
• CEScore: Simple and Efficient Confidence Estimation Model for Evaluating Split and Rephrase
  3 Dec 2023 1 repository listed
  This underscores the potential of CEScore as a simple and effective metric for assessing the overall quality of SR models.
• Sequence-to-Sequence Spanish Pre-trained Language Models
  20 Sep 2023 1 repository listed
  In recent years, significant advancements in pre-trained language models have driven the creation of numerous non-English language variants, with a particular emphasis on encoder-only and decoder-only architectures.
• Syntactic Complexity Identification, Measurement, and Reduction Through Controlled Syntactic Simplification
  16 Apr 2023 1 repository listed
  However, it is always hard to understand and retrieve knowledge from unstructured text, which is usually in the form of compound and complex sentences.
• BiSECT: Learning to Split and Rephrase Sentences with Bitexts
  10 Sep 2021 1 repository listed
  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.
• Finding Spoiler Bias in Tweets by Zero-shot Learning and Knowledge Distilling from Neural Text Simplification
  1 Apr 2021 1 repository listed
  We constructed a sustainable high-quality movie dataset scraped from unsolicited review tweets and paired with a title summary and meta-data extracted from a movie specific domain.
• Learning To Split and Rephrase From Wikipedia Edit History
  28 Aug 2018 1 repository listed
  Split and rephrase is the task of breaking down a sentence into shorter ones that together convey the same meaning.
• Split and Rephrase: Better Evaluation and Stronger Baselines
  1 Jul 2018 1 repository listed
  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.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.