{"id":"https://openalex.org/W2758584285","doi":"https://doi.org/10.18653/v1/w17-4505","title":"Coarse-to-Fine Attention Models for Document Summarization","display_name":"Coarse-to-Fine Attention Models for Document Summarization","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2758584285","doi":"https://doi.org/10.18653/v1/w17-4505","mag":"2758584285"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-4505","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4505","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on New Frontiers in Summarization","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/w17-4505","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007888987","display_name":"Jeffrey Ling","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jeffrey Ling","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062546146","display_name":"Alexander M. Rush","orcid":"https://orcid.org/0000-0002-9900-1606"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Rush","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007888987"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.4041,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.96497833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9934999942779541,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9594701528549194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8212249279022217},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.7151829600334167},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6352392435073853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4936326742172241},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.48693978786468506},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4777457118034363},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43499845266342163},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17422744631767273}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9594701528549194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8212249279022217},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7151829600334167},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6352392435073853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4936326742172241},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.48693978786468506},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4777457118034363},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43499845266342163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17422744631767273},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/w17-4505","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4505","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on New Frontiers in Summarization","raw_type":"proceedings-article"},{"id":"pmh:oai:dash.harvard.edu:1/38811512","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:38811512","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis or Dissertation"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-4505","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4505","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on New Frontiers in Summarization","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1544827683","https://openalex.org/W1646152356","https://openalex.org/W1832693441","https://openalex.org/W1902237438","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2125308790","https://openalex.org/W2130942839","https://openalex.org/W2147527908","https://openalex.org/W2153579005","https://openalex.org/W2154652894","https://openalex.org/W2156718681","https://openalex.org/W2242818861","https://openalex.org/W2581624817","https://openalex.org/W2606974598","https://openalex.org/W2962905474","https://openalex.org/W2962965405","https://openalex.org/W2963123301","https://openalex.org/W2963125472","https://openalex.org/W2963212250","https://openalex.org/W2963448850","https://openalex.org/W2963929190","https://openalex.org/W2964036520","https://openalex.org/W2964308564","https://openalex.org/W2964352131"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W1517524280","https://openalex.org/W4323520239"],"abstract_inverted_index":{"While":[0,63],"humans":[1],"are":[2,66,148],"naturally":[3],"able":[4],"to":[5,41,44,59,82,100,139,159,170,177],"produce":[6],"high-level":[7],"summaries":[8],"upon":[9],"reading":[10],"paragraphs":[11],"of":[12,30,71,105,137,141,174,181],"text,":[13],"computers":[14],"still":[15],"find":[16,121],"such":[17,87],"a":[18,69,95,171],"task":[19],"enormously":[20],"difficult.":[21],"Despite":[22],"progress":[23],"over":[24],"the":[25,27,54,60,76,102,106,115,134,142,151,179],"years,":[26],"general":[28,152],"problem":[29],"document":[31,117,143],"summarization":[32,61,118],"remains":[33],"mostly":[34],"unsolved,":[35],"and":[36],"even":[37],"simple":[38],"models":[39,65,126],"prove":[40],"be":[42,168],"hard":[43],"beat.&#13;\\nInspired":[45],"by":[46],"recent":[47],"work":[48],"in":[49,68],"deep":[50,184],"learning,":[51],"we":[52,93,147],"apply":[53],"sequence-to-sequence":[55,64],"model":[56,99,113],"with":[57,84,111],"attention":[58,98,108,125],"problem.":[62],"successful":[67],"variety":[70,173],"natural":[72],"language":[73],"processing":[74],"tasks,":[75],"computation":[77],"does":[78],"not":[79],"scale":[80],"well":[81],"problems":[83],"long":[85],"sequences":[86],"as":[88,156],"documents.":[89],"To":[90],"address":[91],"this,":[92],"propose":[94],"novel":[96],"coarse-to-fine":[97,124],"reduce":[101,178],"computational":[103],"complexity":[104],"standard":[107],"model.&#13;\\nWe":[109],"experiment":[110],"our":[112,131,165],"on":[114],"CNN/Dailymail":[116],"dataset.":[119],"We":[120,162],"that":[122,150,164],"while":[123],"lag":[127],"behind":[128],"state-of-the-art":[129,160],"baselines,":[130],"method":[132,166],"learns":[133],"desired":[135],"behavior":[136],"attending":[138],"subsets":[140],"for":[144],"generation.":[145],"Therefore,":[146],"optimistic":[149],"approach":[153],"is":[154],"viable":[155],"an":[157],"approximation":[158],"models.":[161,185],"believe":[163],"can":[167],"applied":[169],"broad":[172],"NLP":[175],"tasks":[176],"cost":[180],"training":[182],"expensive":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
