Sentence Fusion

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

3 datasets 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

19 shown of 19 papers with code (36 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.
• Felix: Flexible Text Editing Through Tagging and Insertion
  24 Mar 2020 3 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 1 pointer-only (licence)
  We achieve this by decomposing the text-editing task into two sub-tasks: tagging to decide on the subset of input tokens and their order in the output text and insertion to in-fill the missing tokens in the output not…
• Scoring Sentence Singletons and Pairs for Abstractive Summarization
  31 May 2019 3 repositories listed
  There is thus a crucial gap between sentence selection and fusion to support summarizing by both compressing single sentences and fusing pairs.
• DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion
  27 Feb 2019 2 repositories listed
  We author a set of rules for identifying a diverse set of discourse phenomena in raw text, and decomposing the text into two independent sentences.
• Non-autoregressive Text Editing with Copy-aware Latent Alignments
  11 Oct 2023 1 repository listed
  In this work, we propose a novel non-autoregressive text editing method to circumvent the above issues, by modeling the edit process with latent CTC alignments.
• RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to Spans
  19 Sep 2023 1 repository listed
  The text editing tasks, including sentence fusion, sentence splitting and rephrasing, text simplification, and Grammatical Error Correction (GEC), share a common trait of dealing with highly similar input and output…
• Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations
  24 May 2023 1 repository listed Syntology ran 6 of 12 samples · 6 unverified · 12 pointer-only (licence)
  It is unclear whether the compositional semantics of sentences can be directly reflected as compositional operations in the embedding space.
• CoEdIT: Text Editing by Task-Specific Instruction Tuning
  17 May 2023 1 repository listed
  We present a large language model fine-tuned on a diverse collection of task-specific instructions for text editing (a total of 82K instructions).
• Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks
  2 Dec 2022 1 repository listed
  Leveraging datasets from other related text editing NLP tasks, combined with the specification of editable spans, leads our system to more accurately model the process of iterative text refinement, as evidenced by…
• ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models
  9 Oct 2022 1 repository listed
  In the data disambiguation stage, we employ the prompted GPT-3 model to understand possibly ambiguous triples from the input data and convert each into a short sentence with reduced ambiguity.
• Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
  21 Sep 2022 1 repository listed Syntology ran 3 of 4 samples · 1 unverified
  We demonstrate that SP-Search effectively represents the generative process behind human summaries using modules that are typically faithful to their intended behavior.
• Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations
  9 Oct 2021 1 repository listed
  NLP models that compare or consolidate information across multiple documents often struggle when challenged with recognizing substantial information redundancies across the texts.
• Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
  3 Jun 2021 1 repository listed
  Despite the prominence of neural abstractive summarization models, we know little about how they actually form summaries and how to understand where their decisions come from.
• Data-to-Text Generation with Iterative Text Editing
  3 Nov 2020 1 repository listed
  Our approach maximizes the completeness and semantic accuracy of the output text while leveraging the abilities of recent pre-trained models for text editing (LaserTagger) and language modeling (GPT-2) to improve the…
• Learning to Fuse Sentences with Transformers for Summarization
  8 Oct 2020 1 repository listed
  The ability to fuse sentences is highly attractive for summarization systems because it is an essential step to produce succinct abstracts.
• Semantically Driven Sentence Fusion: Modeling and Evaluation
  6 Oct 2020 1 repository listed
  Sentence fusion is the task of joining related sentences into coherent text.
• Seq2Edits: Sequence Transduction Using Span-level Edit Operations
  23 Sep 2020 1 repository listed
  For text normalization, sentence fusion, and grammatical error correction, our approach improves explainability by associating each edit operation with a human-readable tag.
• Understanding Points of Correspondence between Sentences for Abstractive Summarization
  10 Jun 2020 1 repository listed
  We create a dataset containing the documents, source and fusion sentences, and human annotations of points of correspondence between sentences.

Syntology lines on 5 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.