{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/sentence-compression/papers/2","list_of":"/task/sentence-compression","task":"Sentence Compression","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":2,"pages_in_order":2,"rows_per_page":100,"rows":[101,149],"of":149,"counts":{"archive_papers_tagged":149,"with_a_code_link":22,"where_syntology_ran_a_sample":1,"not_listed_spam_title":0,"listed":149,"listed_where_code_ran":1,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1,"every_run_a_failure_of_syntologys_instrument":0,"listed_with_a_run_with_no_instrument_failure":1,"listed_every_run_a_failure_of_syntologys_instrument":0,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/sentence-compression","prev":"/task/sentence-compression","next":null,"papers":[{"url":"/paper/sentence-compression-by-deletion-with-lstms","slug":"sentence-compression-by-deletion-with-lstms","title":"Sentence Compression by Deletion with LSTMs","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"event-driven-headline-generation","title":"Event-Driven Headline Generation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"using-tweets-to-help-sentence-compression-for","title":"Using Tweets to Help Sentence Compression for News Highlights Generation","date":"2015-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dynamic-programming-algorithm-for-tree","title":"A Dynamic Programming Algorithm for Tree Trimming-based Text Summarization","date":"2015-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"identification-and-characterization-of","title":"Identification and Characterization of Newsworthy Verbs in World News","date":"2015-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"looking-hard-eye-tracking-for-detecting","title":"Looking hard: Eye tracking for detecting grammaticality of automatically compressed sentences","date":"2015-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentence-compression-for-automatic-subtitling","title":"Sentence Compression For Automatic Subtitling","date":"2015-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-multi-documents-summarization-by","title":"Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-decoding-of-tree-transduction-models","title":"Joint Decoding of Tree Transduction Models for Sentence Compression","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"recursive-deep-models-for-discourse-parsing","title":"Recursive Deep Models for Discourse Parsing","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-sentence-enhancement-for","title":"Unsupervised Sentence Enhancement for Automatic Summarization","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-generate-coherent-summary-with","title":"Learning to Generate Coherent Summary with Discriminative Hidden Semi-Markov Model","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-summarise-related-sentences","title":"Learning to Summarise Related Sentences","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lexico-syntactic-text-simplification-and","title":"Lexico-syntactic text simplification and compression with typed dependencies","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentence-compression-for-target-polarity-word","title":"Sentence Compression for Target-Polarity Word Collocation Extraction","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"utilizing-microblogs-for-automatic-news","title":"Utilizing Microblogs for Automatic News Highlights Extraction","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"approximation-strategies-for-multi-structure","title":"Approximation Strategies for Multi-Structure Sentence Compression","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-specific-image-captioning","title":"Domain-Specific Image Captioning","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"polynomial-time-joint-structural-inference","title":"Polynomial Time Joint Structural Inference for Sentence Compression","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"single-document-summarization-based-on-nested","title":"Single Document Summarization based on Nested Tree Structure","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"creating-and-using-large-monolingual-parallel","title":"Creating and using large monolingual parallel corpora for sentential paraphrase generation","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lqvsumm-a-corpus-of-linguistic-quality","title":"LQVSumm: A Corpus of Linguistic Quality Violations in Multi-Document Summarization","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"priberam-compressive-summarization-corpus-a","title":"Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-cuhk-discourse-treebank-for-chinese","title":"The CUHK Discourse TreeBank for Chinese: Annotating Explicit Discourse Connectives for the Chinese TreeBank","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"paradigm-paraphrase-diagnostics-through","title":"PARADIGM: Paraphrase Diagnostics through Grammar Matching","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentence-compression-as-tree-transduction","title":"Sentence Compression as Tree Transduction","date":"2014-01-15","arxiv_id":"1401.5693","repositories_listed":0,"syntology":null},{"url":null,"slug":"document-summarization-via-guided-sentence","title":"Document Summarization via Guided Sentence Compression","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/overcoming-the-lack-of-parallel-data-in","slug":"overcoming-the-lack-of-parallel-data-in","title":"Overcoming the Lack of Parallel Data in Sentence Compression","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-sentence-fusion-with-single-stage","title":"Supervised Sentence Fusion with Single-Stage Inference","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-intra-and-multi-sentential","title":"Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-and-robust-compressive-summarization","title":"Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generalizing-image-captions-for-image-text","title":"Generalizing Image Captions for Image-Text Parallel Corpus","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-elliptic-coordination","title":"Generating Elliptic Coordination","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentence-compression-with-joint-structural","title":"Sentence Compression with Joint Structural Inference","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"subtree-extractive-summarization-via","title":"Subtree Extractive Summarization via Submodular Maximization","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-abstractive-multi-document","title":"Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-paraphrasing-for-natural-language","title":"Large-Scale Paraphrasing for Natural Language Understanding","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-coordinate-descent-algorithms-for","title":"Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction","date":"2013-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"flexible-japanese-sentence-compression-by","title":"Flexible Japanese Sentence Compression by Relaxing Unit Constraints","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-effectiveness-of-using-sentence","title":"On the Effectiveness of using Sentence Compression Models for Query-Focused Multi-Document Summarization","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-discriminative-framework-for-sentence","title":"A Novel Discriminative Framework for Sentence-Level Discourse Analysis","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-two-step-approach-to-sentence-compression","title":"A Two-step Approach to Sentence Compression of Spoken Utterances","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-symbol-refined-tree-substitution","title":"Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"framework-of-automatic-text-summarization","title":"Framework of Automatic Text Summarization Using Reinforcement Learning","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fully-abstractive-approach-to-guided","title":"Fully Abstractive Approach to Guided Summarization","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"monolingual-distributional-similarity-for","title":"Monolingual Distributional Similarity for Text-to-Text Generation","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentence-compression-with-semantic-role","title":"Sentence Compression with Semantic Role Constraints","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"acquisition-of-syntactic-simplification-rules","title":"Acquisition of Syntactic Simplification Rules for French","date":"2012-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"user-edits-classification-using-document","title":"User Edits Classification Using Document Revision Histories","date":"2012-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"88b7da175c58f47be76b5cc0afd32467cc8422576ab74a27526465c4d87b9d0d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}