{"id":"https://openalex.org/W2606974598","doi":"https://doi.org/10.18653/v1/p17-1099","title":"Get To The Point: Summarization with Pointer-Generator Networks","display_name":"Get To The Point: Summarization with Pointer-Generator Networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2606974598","doi":"https://doi.org/10.18653/v1/p17-1099","mag":"2606974598"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-1099","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1099","pdf_url":"https://www.aclweb.org/anthology/P17-1099.pdf","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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P17-1099.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076818344","display_name":"Abigail See","orcid":"https://orcid.org/0000-0003-3137-6599"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abigail See","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076683869","display_name":"Peter J. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter J. Liu","raw_affiliation_strings":["Google Brain"],"affiliations":[{"raw_affiliation_string":"Google Brain","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046006076","display_name":"Christopher D. Manning","orcid":"https://orcid.org/0000-0001-6155-649X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher D. Manning","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076818344"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":323.2275,"has_fulltext":true,"cited_by_count":3852,"citation_normalized_percentile":{"value":0.99992778,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1073","last_page":"1083"},"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":0.9998999834060669,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9951000213623047,"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":0.9334568977355957},{"id":"https://openalex.org/keywords/pointer","display_name":"Pointer (user interface)","score":0.8616244196891785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8354694843292236},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6825045347213745},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5676304697990417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5665513873100281},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5114673376083374},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4549940228462219}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9334568977355957},{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.8616244196891785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8354694843292236},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6825045347213745},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5676304697990417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5665513873100281},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5114673376083374},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4549940228462219},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p17-1099","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1099","pdf_url":"https://www.aclweb.org/anthology/P17-1099.pdf","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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-1099","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-1099","pdf_url":"https://www.aclweb.org/anthology/P17-1099.pdf","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 55th Annual Meeting of the Association for\n          Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2606974598.pdf","grobid_xml":"https://content.openalex.org/works/W2606974598.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1544827683","https://openalex.org/W1843891098","https://openalex.org/W1916559533","https://openalex.org/W1964326564","https://openalex.org/W2088802729","https://openalex.org/W2101390659","https://openalex.org/W2130942839","https://openalex.org/W2133459682","https://openalex.org/W2133564696","https://openalex.org/W2146502635","https://openalex.org/W2154652894","https://openalex.org/W2164755781","https://openalex.org/W2176263492","https://openalex.org/W2182959134","https://openalex.org/W2238199890","https://openalex.org/W2467173223","https://openalex.org/W2507756961","https://openalex.org/W2509593407","https://openalex.org/W2526471240","https://openalex.org/W2561360547","https://openalex.org/W2567525733","https://openalex.org/W2573425638","https://openalex.org/W2574535369","https://openalex.org/W2586041121","https://openalex.org/W2949615363","https://openalex.org/W2950178297","https://openalex.org/W2952138241","https://openalex.org/W2962944953","https://openalex.org/W2962965405","https://openalex.org/W2963248296","https://openalex.org/W2963260202","https://openalex.org/W2963494889","https://openalex.org/W2963699608","https://openalex.org/W2963929190","https://openalex.org/W2964165364","https://openalex.org/W2964308564","https://openalex.org/W3211848854","https://openalex.org/W4298422451"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W3148229873","https://openalex.org/W4242223894","https://openalex.org/W2091301346","https://openalex.org/W2095266342","https://openalex.org/W3145906801","https://openalex.org/W2067529211","https://openalex.org/W1517932371","https://openalex.org/W2018397790"],"abstract_inverted_index":{"Neural":[0],"sequence-to-sequence":[1,60],"models":[2,30],"have":[3,31],"provided":[4],"a":[5,53,70],"viable":[6],"new":[7],"approach":[8],"for":[9],"abstractive":[10,131],"text":[11,81],"summarization":[12,126],"(meaning":[13],"they":[14,34,43],"are":[15,35],"not":[16],"restricted":[17],"to":[18,37,45,94,105,120],"simply":[19],"selecting":[20],"and":[21,42],"rearranging":[22],"passages":[23],"from":[24,78],"the":[25,58,79,92,99,121,129],"original":[26],"text).":[27],"However,":[28],"these":[29],"two":[32,64],"shortcomings:":[33],"liable":[36],"reproduce":[38],"factual":[39],"details":[40],"inaccurately,":[41],"tend":[44],"repeat":[46],"themselves.":[47],"In":[48],"this":[49],"work":[50],"we":[51,68,102],"propose":[52],"novel":[54,96],"architecture":[55],"that":[56,74],"augments":[57],"standard":[59],"attentional":[61],"model":[62,119],"in":[63],"orthogonal":[65],"ways.":[66],"First,":[67],"use":[69,103],"hybrid":[71],"pointer-generator":[72],"network":[73],"can":[75],"copy":[76],"words":[77,97],"source":[80],"via":[82],"pointing,":[83],"which":[84,113],"aids":[85],"accurate":[86],"reproduction":[87],"of":[88,108],"information,":[89],"while":[90],"retaining":[91],"ability":[93],"produce":[95],"through":[98],"generator.":[100],"Second,":[101],"coverage":[104],"keep":[106],"track":[107],"what":[109],"has":[110],"been":[111],"summarized,":[112],"discourages":[114],"repetition.":[115],"We":[116],"apply":[117],"our":[118],"CNN":[122],"/":[123],"Daily":[124],"Mail":[125],"task,":[127],"outperforming":[128],"current":[130],"state-of-the-art":[132],"by":[133],"at":[134],"least":[135],"2":[136],"ROUGE":[137],"points.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":28},{"year":2025,"cited_by_count":210},{"year":2024,"cited_by_count":270},{"year":2023,"cited_by_count":476},{"year":2022,"cited_by_count":504},{"year":2021,"cited_by_count":809},{"year":2020,"cited_by_count":693},{"year":2019,"cited_by_count":584},{"year":2018,"cited_by_count":254},{"year":2017,"cited_by_count":24}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}