{"id":"https://openalex.org/W2945165791","doi":"https://doi.org/10.18653/v1/p19-1191","title":"PaperRobot: Incremental Draft Generation of Scientific Ideas","display_name":"PaperRobot: Incremental Draft Generation of Scientific Ideas","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2945165791","doi":"https://doi.org/10.18653/v1/p19-1191","mag":"2945165791"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1191","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1191","pdf_url":"https://www.aclweb.org/anthology/P19-1191.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1191.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100760907","display_name":"Qingyun Wang","orcid":"https://orcid.org/0000-0002-2659-6100"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qingyun Wang","raw_affiliation_strings":["Rensselaer Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042819803","display_name":"Lifu Huang","orcid":"https://orcid.org/0000-0002-2743-7718"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lifu Huang","raw_affiliation_strings":["Rensselaer Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101513734","display_name":"Zhiying Jiang","orcid":"https://orcid.org/0000-0001-8840-7056"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiying Jiang","raw_affiliation_strings":["Rensselaer Polytechnic Institute"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106821597","display_name":"Kevin Knight","orcid":"https://orcid.org/0000-0001-9117-1718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kevin Knight","raw_affiliation_strings":["DiDi Labs"],"affiliations":[{"raw_affiliation_string":"DiDi Labs","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075033889","display_name":"Heng Ji","orcid":"https://orcid.org/0000-0002-0464-7966"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]},{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Ji","raw_affiliation_strings":["Rensselaer Polytechnic Institute","University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001987532","display_name":"Mohit Bansal","orcid":"https://orcid.org/0000-0001-5522-1351"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohit Bansal","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074697516","display_name":"Yi Luan","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Luan","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100760907"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":4.1907,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95272616,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1980","last_page":"1991"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9909999966621399,"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":0.7604552507400513},{"id":"https://openalex.org/keywords/turing","display_name":"Turing","score":0.7550243735313416},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.6631512641906738},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6001908779144287},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5680747032165527},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5516734719276428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3992806077003479},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3772027790546417},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33498066663742065},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32694998383522034},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18653401732444763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7604552507400513},{"id":"https://openalex.org/C9870796","wikidata":"https://www.wikidata.org/wiki/Q490481","display_name":"Turing","level":2,"score":0.7550243735313416},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.6631512641906738},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6001908779144287},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5680747032165527},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5516734719276428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3992806077003479},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3772027790546417},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33498066663742065},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32694998383522034},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18653401732444763},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/p19-1191","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1191","pdf_url":"https://www.aclweb.org/anthology/P19-1191.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.07870","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.07870","pdf_url":"https://arxiv.org/pdf/1905.07870","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1191","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1191","pdf_url":"https://www.aclweb.org/anthology/P19-1191.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 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.75}],"awards":[{"id":"https://openalex.org/G4291750258","display_name":null,"funder_award_id":"1741634","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2945165791.pdf","grobid_xml":"https://content.openalex.org/works/W2945165791.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W205829674","https://openalex.org/W1793121960","https://openalex.org/W1964670939","https://openalex.org/W2010430634","https://openalex.org/W2042595143","https://openalex.org/W2057637911","https://openalex.org/W2079735306","https://openalex.org/W2092655018","https://openalex.org/W2101105183","https://openalex.org/W2108454954","https://openalex.org/W2122088582","https://openalex.org/W2127795553","https://openalex.org/W2133459682","https://openalex.org/W2133564696","https://openalex.org/W2149327368","https://openalex.org/W2152984213","https://openalex.org/W2154053722","https://openalex.org/W2154652894","https://openalex.org/W2157331557","https://openalex.org/W2157812664","https://openalex.org/W2167302917","https://openalex.org/W2178628967","https://openalex.org/W2184957013","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2328886022","https://openalex.org/W2468355276","https://openalex.org/W2558476738","https://openalex.org/W2560920409","https://openalex.org/W2565245743","https://openalex.org/W2571811098","https://openalex.org/W2589218480","https://openalex.org/W2606974598","https://openalex.org/W2736472496","https://openalex.org/W2752442988","https://openalex.org/W2769618705","https://openalex.org/W2798552002","https://openalex.org/W2798726039","https://openalex.org/W2888912028","https://openalex.org/W2889009749","https://openalex.org/W2889587596","https://openalex.org/W2890451807","https://openalex.org/W2890585661","https://openalex.org/W2893600504","https://openalex.org/W2902716364","https://openalex.org/W2915806464","https://openalex.org/W2951008357","https://openalex.org/W2962854379","https://openalex.org/W2963091658","https://openalex.org/W2963096510","https://openalex.org/W2963138277","https://openalex.org/W2963260202","https://openalex.org/W2963541420","https://openalex.org/W2963701786","https://openalex.org/W2963718112","https://openalex.org/W2963789888","https://openalex.org/W2963838620","https://openalex.org/W2963858333","https://openalex.org/W2963903950","https://openalex.org/W2964165364","https://openalex.org/W2964308564","https://openalex.org/W2964352131","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W577185743","https://openalex.org/W1600683501","https://openalex.org/W4302028307","https://openalex.org/W1974134410","https://openalex.org/W1495683925","https://openalex.org/W4212896882","https://openalex.org/W2107148245","https://openalex.org/W2549438946","https://openalex.org/W49105298","https://openalex.org/W4285406306"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,17,24,60,78,97,100,106,114,118],"PaperRobot":[3,122,193],"who":[4],"performs":[5],"as":[6],"an":[7,186],"automatic":[8],"research":[9],"assistant":[10],"by":[11,38,45],"(1)":[12],"conducting":[13],"deep":[14],"understanding":[15],"of":[16,20,59,144,172],"large":[18],"collection":[19],"human-written":[21,136],"papers":[22,167,197],"in":[23,185,191,204],"target":[25],"domain":[26,108],"and":[27,49,87,90,117,126,130,142,209],"constructing":[28],"comprehensive":[29],"background":[30,43,200],"knowledge":[31,201],"graphs":[32,202],"(KGs);":[33],"(2)":[34],"creating":[35],"new":[36,61,131],"ideas":[37],"predicting":[39],"links":[40],"from":[41,67,81,92,181],"the":[42,68,82,145,151,212],"KGs,":[44],"combining":[46],"graph":[47],"attention":[48],"contextual":[50],"text":[51],"attention;":[52],"(3)":[53],"incrementally":[54],"writing":[55],"some":[56],"key":[57],"elements":[58],"paper":[62,79],"based":[63],"on":[64,163],"memory-attention":[65],"networks:":[66],"input":[69],"title":[70,98],"along":[71],"with":[72],"predicted":[73],"related":[74],"entities":[75,216],"to":[76,84,95,112,139,198],"generate":[77,85,96],"abstract,":[80],"abstract":[83],"conclusion":[86,125],"future":[88,93,127],"work,":[89],"finally":[91],"work":[94,128],"for":[99],"follow-on":[101],"paper.":[102],"Turing":[103],"Tests,":[104],"where":[105],"biomedical":[107],"expert":[109],"is":[110],"asked":[111],"compare":[113],"system":[115],"output":[116],"human-authored":[119],"string,":[120],"show":[121],"generated":[123],"abstracts,":[124],"sections,":[129],"titles":[132],"are":[133,207,211],"chosen":[134],"over":[135],"ones":[137],"up":[138],"30%,":[140],"24%":[141],"12%":[143],"time,":[146],"respectively.":[147],"1":[148],"keeps":[149],"almost":[150],"same":[152],"across":[153],"years.":[154],"In":[155],"2012,":[156],"US":[157],"scientists":[158],"estimated":[159],"that":[160],"they":[161,183],"read,":[162],"average,":[164],"only":[165],"264":[166],"per":[168],"year":[169],"(1":[170],"out":[171],"5000":[173],"available":[174],"papers),":[175],"which":[176,205],"is,":[177],"statistically,":[178],"not":[179],"different":[180],"what":[182],"reported":[184],"identical":[187],"survey":[188],"last":[189],"conducted":[190],"2005.":[192],"automatically":[194],"reads":[195],"existing":[196],"build":[199],"(KGs),":[203],"nodes":[206],"entities/concepts":[208],"edges":[210],"relations":[213],"between":[214],"these":[215],"(Section":[217],"2.2).":[218]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":9}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
