{"url":"/task/sentence-compression","name":"Sentence Compression","slug":"sentence-compression","description_markdown":"**Sentence Compression** is the task of reducing the length of text by removing non-essential content while preserving important facts and grammaticality.","categories":[{"name":"Natural Language Processing","url":"/area/natural-language-processing"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":149,"papers_with_code":22,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":2,"subtasks":1,"parent_tasks":2},"benchmarks":[{"leaderboard":"/sota/sentence-compression-on-google-dataset","slug":"sentence-compression-on-google-dataset","dataset":"Google Dataset","dataset_url":"/dataset/google","rows_in_archive":6,"metrics":["F1","CR"],"first_row_in_archive_order":{"model":"SLAHAN (LSTM+syntactic-information)","paper_title":"Syntactically Look-Ahead Attention Network for Sentence Compression","paper_url":"/paper/syntactically-look-ahead-attention-network","paper_date":"2020-02-04","arxiv_id":"2002.01145","code_links":[{"title":"kamigaito/SLAHAN","url":"https://github.com/kamigaito/SLAHAN"}],"syntology":null}}],"datasets":[{"url":"/dataset/sentence-compression","name":"Sentence Compression","full_name":"","num_papers_in_archive":63},{"url":"/dataset/google","name":"Google","full_name":null,"num_papers_in_archive":8}],"subtasks":[{"url":"/task/unsupervised-sentence-compression","name":"Unsupervised Sentence Compression"}],"parent_tasks":[{"url":"/task/sentence-embeddings","name":"Sentence Embeddings"},{"url":"/task/text-summarization","name":"Text Summarization"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":22,"of":22,"tagged_in_all":149,"items":[{"url":"/paper/unsupervised-abstractive-meeting","title":"Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization","date":"2018-05-14","arxiv_id":"1805.05271","repositories_listed":4,"syntology":null},{"url":"/paper/keyphrase-extraction-for-n-best-reranking-in","title":"Keyphrase Extraction for N-best Reranking in Multi-Sentence Compression","date":"2013-06-01","arxiv_id":null,"repositories_listed":2,"syntology":null},{"url":"/paper/improving-factual-consistency-in","title":"Improving Factual Consistency in Summarization with Compression-Based Post-Editing","date":"2022-11-11","arxiv_id":"2211.06196","repositories_listed":1,"syntology":{"n":2,"n_ran":0,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/unsupervised-abstractive-dialogue-2","title":"Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion","date":"2022-05-26","arxiv_id":"2205.13108","repositories_listed":1,"syntology":null},{"url":"/paper/efficient-unsupervised-sentence-compression-1","title":"Efficient Unsupervised Sentence Compression by Fine-tuning Transformers with Reinforcement Learning","date":"2022-05-17","arxiv_id":"2205.08221","repositories_listed":1,"syntology":null},{"url":"/paper/a-novel-metric-for-evaluating-semantics-1","title":"A Novel Metric for Evaluating Semantics Preservation","date":"2021-10-16","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/a-novel-metric-for-evaluating-semantics","title":"Contextualized Semantic Distance between Highly Overlapped Texts","date":"2021-10-04","arxiv_id":"2110.01176","repositories_listed":1,"syntology":null},{"url":"/paper/non-autoregressive-text-generation-with-pre","title":"Non-Autoregressive Text Generation with Pre-trained Language Models","date":"2021-02-16","arxiv_id":"2102.08220","repositories_listed":1,"syntology":null},{"url":"/paper/evaluation-discrepancy-discovery-a-sentence","title":"Evaluation Discrepancy Discovery: A Sentence Compression Case-study","date":"2021-01-22","arxiv_id":"2101.09079","repositories_listed":1,"syntology":null},{"url":"/paper/scar-sentence-compression-using-autoencoders","title":"SCAR: Sentence Compression using Autoencoders for Reconstruction","date":"2020-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/syntactically-look-ahead-attention-network","title":"Syntactically Look-Ahead Attention Network for Sentence Compression","date":"2020-02-04","arxiv_id":"2002.01145","repositories_listed":1,"syntology":null},{"url":"/paper/explicit-sentence-compression-for-neural","title":"Explicit Sentence Compression for Neural Machine Translation","date":"2019-12-27","arxiv_id":"1912.11980","repositories_listed":1,"syntology":null},{"url":"/paper/seq3-differentiable-sequence-to-sequence-to-1","title":"SEQ\\^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression","date":"2019-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/seq3-differentiable-sequence-to-sequence-to","title":"SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression","date":"2019-04-07","arxiv_id":"1904.03651","repositories_listed":1,"syntology":null},{"url":"/paper/sentence-compression-for-arbitrary-languages","title":"Sentence Compression for Arbitrary Languages via Multilingual Pivoting","date":"2018-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/unsupervised-sentence-compression-using","title":"Unsupervised Sentence Compression using Denoising Auto-Encoders","date":"2018-09-07","arxiv_id":"1809.02669","repositories_listed":1,"syntology":null},{"url":"/paper/sequence-to-sequence-models-for-cache","title":"Sequence-to-sequence Models for Cache Transition Systems","date":"2018-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/unsupervised-semantic-abstractive","title":"Unsupervised Semantic Abstractive Summarization","date":"2018-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/learning-how-to-simplify-from-explicit","title":"Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs","date":"2017-11-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/combining-graph-degeneracy-and-submodularity","title":"Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization","date":"2017-09-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/sentence-simplification-with-deep","title":"Sentence Simplification with Deep Reinforcement Learning","date":"2017-03-31","arxiv_id":"1703.10931","repositories_listed":1,"syntology":null},{"url":"/paper/globally-normalized-transition-based-neural","title":"Globally Normalized Transition-Based Neural Networks","date":"2016-03-19","arxiv_id":"1603.06042","repositories_listed":1,"syntology":null}],"syntology_records":1,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}