{"id":"https://openalex.org/W2104944827","doi":"https://doi.org/10.1145/2483669.2483674","title":"An abstractive approach to sentence compression","display_name":"An abstractive approach to sentence compression","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2104944827","doi":"https://doi.org/10.1145/2483669.2483674","mag":"2104944827"},"language":"en","primary_location":{"id":"doi:10.1145/2483669.2483674","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2483669.2483674","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078530959","display_name":"Trevor Cohn","orcid":"https://orcid.org/0000-0003-4363-1673"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Trevor Cohn","raw_affiliation_strings":["University of Sheffield, UK","University of sheffield, UK"],"affiliations":[{"raw_affiliation_string":"University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"University of sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041024491","display_name":"Mirella Lapata","orcid":"https://orcid.org/0000-0002-2107-1516"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mirella Lapata","raw_affiliation_strings":["University of Edinburgh, UK","University of Edinburgh (UK)"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh (UK)","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078530959"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":6.427,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96368303,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"4","issue":"3","first_page":"1","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.915341854095459},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7101375460624695},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7092156410217285},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6730615496635437},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.657971203327179},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6236405968666077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5955377817153931},{"id":"https://openalex.org/keywords/substitution","display_name":"Substitution (logic)","score":0.578924834728241},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.5580673217773438},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5394490361213684},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.46747681498527527},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.43594279885292053},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3317040205001831},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13798794150352478},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11968445777893066}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.915341854095459},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7101375460624695},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7092156410217285},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6730615496635437},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.657971203327179},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6236405968666077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5955377817153931},{"id":"https://openalex.org/C2778220771","wikidata":"https://www.wikidata.org/wiki/Q1522579","display_name":"Substitution (logic)","level":2,"score":0.578924834728241},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.5580673217773438},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5394490361213684},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.46747681498527527},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.43594279885292053},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3317040205001831},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13798794150352478},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11968445777893066},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2483669.2483674","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2483669.2483674","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.416.4831","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.4831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://homepages.inf.ed.ac.uk/mlap/Papers/a41-cohn.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2728747224","display_name":null,"funder_award_id":"GR/T04540/01 and GR/T04557/01","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7511089076","display_name":null,"funder_award_id":"EP/F055765/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W88290828","https://openalex.org/W98347854","https://openalex.org/W99221312","https://openalex.org/W174630521","https://openalex.org/W1498416817","https://openalex.org/W1510052640","https://openalex.org/W1551202288","https://openalex.org/W1552023264","https://openalex.org/W1631260214","https://openalex.org/W1664028424","https://openalex.org/W1704669313","https://openalex.org/W1964326564","https://openalex.org/W1982725271","https://openalex.org/W1984052055","https://openalex.org/W1996333538","https://openalex.org/W1999447745","https://openalex.org/W2001135856","https://openalex.org/W2005603124","https://openalex.org/W2006969979","https://openalex.org/W2012561700","https://openalex.org/W2026191715","https://openalex.org/W2040103855","https://openalex.org/W2042262613","https://openalex.org/W2051840895","https://openalex.org/W2061235289","https://openalex.org/W2070771761","https://openalex.org/W2076749875","https://openalex.org/W2081265723","https://openalex.org/W2082218603","https://openalex.org/W2083451366","https://openalex.org/W2096894677","https://openalex.org/W2101105183","https://openalex.org/W2103081392","https://openalex.org/W2105842272","https://openalex.org/W2107130271","https://openalex.org/W2108701407","https://openalex.org/W2112900913","https://openalex.org/W2115322217","https://openalex.org/W2118021410","https://openalex.org/W2118681326","https://openalex.org/W2119168550","https://openalex.org/W2122228338","https://openalex.org/W2124732071","https://openalex.org/W2125527113","https://openalex.org/W2126034021","https://openalex.org/W2128774237","https://openalex.org/W2129468719","https://openalex.org/W2130571329","https://openalex.org/W2133182690","https://openalex.org/W2143008661","https://openalex.org/W2143927888","https://openalex.org/W2144637381","https://openalex.org/W2149327368","https://openalex.org/W2153653739","https://openalex.org/W2156618939","https://openalex.org/W2163076329","https://openalex.org/W2165836836","https://openalex.org/W2169724380","https://openalex.org/W2186267129","https://openalex.org/W2213437749","https://openalex.org/W2437005631","https://openalex.org/W2526303618","https://openalex.org/W2606601345","https://openalex.org/W2998215494","https://openalex.org/W3003259008","https://openalex.org/W3006033670","https://openalex.org/W3010318089","https://openalex.org/W4285719527","https://openalex.org/W6636811518"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W2379444625","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2393147081","https://openalex.org/W2575869988","https://openalex.org/W2761785940"],"abstract_inverted_index":{"In":[0],"this":[1],"article":[2],"we":[3,24],"generalize":[4],"the":[5,68],"sentence":[6,14],"compression":[7,70],"task.":[8],"Rather":[9],"than":[10],"simply":[11],"shorten":[12],"a":[13,50,61,74,90,95,107],"by":[15],"deleting":[16],"words":[17],"or":[18],"constituents,":[19],"as":[20,31],"in":[21],"previous":[22],"work,":[23],"rewrite":[25,53],"it":[26],"using":[27,49],"additional":[28],"operations":[29],"such":[30],"substitution,":[32],"reordering,":[33],"and":[34,72,84,101],"insertion.":[35],"We":[36,58],"present":[37],"an":[38],"experimental":[39],"study":[40],"showing":[41],"that":[42,64,79],"humans":[43],"can":[44,80,102],"naturally":[45],"create":[46,60],"abstractive":[47,69],"sentences":[48],"variety":[51],"of":[52,110],"operations,":[54],"not":[55],"just":[56],"deletion.":[57],"next":[59],"new":[62],"corpus":[63],"is":[65],"suited":[66],"to":[67,106],"task":[71],"formulate":[73],"discriminative":[75],"tree-to-tree":[76],"transduction":[77],"model":[78,88,97],"account":[81],"for":[82,98],"structural":[83],"lexical":[85],"mismatches.":[86],"The":[87],"incorporates":[89],"grammar":[91],"extraction":[92],"method,":[93],"uses":[94],"language":[96],"coherent":[99],"output,":[100],"be":[103],"easily":[104],"tuned":[105],"wide":[108],"range":[109],"compression-specific":[111],"loss":[112],"functions.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}