{"id":"https://openalex.org/W2891946694","doi":"https://doi.org/10.1609/aaai.v33i01.33016602","title":"Improving Neural Question Generation Using Answer Separation","display_name":"Improving Neural Question Generation Using Answer Separation","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2891946694","doi":"https://doi.org/10.1609/aaai.v33i01.33016602","mag":"2891946694"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33016602","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016602","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4629/4507","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4629/4507","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037342367","display_name":"Yanghoon Kim","orcid":"https://orcid.org/0000-0002-6939-9537"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yanghoon Kim","raw_affiliation_strings":["Seoul National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063029769","display_name":"Hwanhee Lee","orcid":"https://orcid.org/0000-0002-9367-9811"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwanhee Lee","raw_affiliation_strings":["Seoul National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087360194","display_name":"Joongbo Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joongbo Shin","raw_affiliation_strings":["Seoul National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077832834","display_name":"Kyomin Jung","orcid":"https://orcid.org/0000-0003-2547-7051"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyomin Jung","raw_affiliation_strings":["Seoul National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.6844,"has_fulltext":true,"cited_by_count":175,"citation_normalized_percentile":{"value":0.99172437,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"6602","last_page":"6609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.996399998664856,"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/T12031","display_name":"Speech and dialogue systems","score":0.9702000021934509,"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":0.7718116044998169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6768333315849304},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6578025221824646},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6405673027038574},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6282662153244019},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.592517614364624},{"id":"https://openalex.org/keywords/interrogative","display_name":"Interrogative","score":0.5573263168334961},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5407521724700928},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4291786551475525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4227501451969147},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3805813491344452},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11340126395225525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718116044998169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6768333315849304},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6578025221824646},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6405673027038574},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6282662153244019},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.592517614364624},{"id":"https://openalex.org/C57098296","wikidata":"https://www.wikidata.org/wiki/Q12021746","display_name":"Interrogative","level":2,"score":0.5573263168334961},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5407521724700928},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4291786551475525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4227501451969147},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3805813491344452},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11340126395225525},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33016602","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016602","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4629/4507","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4629","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33016602","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016602","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4629/4507","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1103364132","display_name":null,"funder_award_id":"10073144","funder_id":"https://openalex.org/F4320321681","funder_display_name":"Ministry of Trade, Industry and Energy"},{"id":"https://openalex.org/G8265331568","display_name":null,"funder_award_id":"2016M3C4A7952632","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2891946694.pdf","grobid_xml":"https://content.openalex.org/works/W2891946694.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1531374185","https://openalex.org/W1889081078","https://openalex.org/W2123442489","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2250539671","https://openalex.org/W2306876680","https://openalex.org/W2341401723","https://openalex.org/W2399880602","https://openalex.org/W2593833795","https://openalex.org/W2606333299","https://openalex.org/W2610986956","https://openalex.org/W2624022918","https://openalex.org/W2757978590","https://openalex.org/W2796070532","https://openalex.org/W2798858969","https://openalex.org/W2803595284","https://openalex.org/W2804292122","https://openalex.org/W2962717047","https://openalex.org/W2962883855","https://openalex.org/W2962944953","https://openalex.org/W2963351776","https://openalex.org/W2963663567","https://openalex.org/W2963748441","https://openalex.org/W2963929190","https://openalex.org/W2964324871","https://openalex.org/W3022187094","https://openalex.org/W4295253143","https://openalex.org/W6679436768","https://openalex.org/W6691431627","https://openalex.org/W6702765515","https://openalex.org/W6718053083","https://openalex.org/W6744249386"],"related_works":["https://openalex.org/W3084147960","https://openalex.org/W2380118150","https://openalex.org/W2554293154","https://openalex.org/W2382633796","https://openalex.org/W2371032728","https://openalex.org/W2386303189","https://openalex.org/W3173078013","https://openalex.org/W2612440497","https://openalex.org/W2368198890","https://openalex.org/W2375899129"],"abstract_inverted_index":{"Neural":[0],"question":[1,10,38],"generation":[2,43],"(NQG)":[3],"is":[4],"the":[5,31,37,42,57,61,64,69,73,101,105,109,127],"task":[6],"of":[7,30,44,129],"generating":[8],"a":[9,12,24,27,77,94],"from":[11,23,59],"given":[13],"passage":[14,62,75],"with":[15,76],"deep":[16],"neural":[17],"networks.":[18],"Previous":[19],"NQG":[20,142],"models":[21],"suffer":[22],"problem":[25],"that":[26,120],"significant":[28],"proportion":[29],"generated":[32],"questions":[33,131],"include":[34,133],"words":[35],"in":[36,41,72,108],"target,":[39],"resulting":[40],"unintended":[45],"questions.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"propose":[51,93],"answer-separated":[52],"seq2seq,":[53],"which":[54,85,99,132],"better":[55,103],"utilizes":[56],"information":[58,107],"both":[60],"and":[63,112],"target":[65,70,110],"answer.":[66],"By":[67],"replacing":[68],"answer":[71,111,122],"original":[74],"special":[78],"token,":[79],"our":[80,121,136],"model":[81,102,137],"learns":[82],"to":[83],"identify":[84],"interrogative":[86],"word":[87],"should":[88],"be":[89],"used.":[90],"We":[91],"also":[92],"new":[95],"module":[96],"termed":[97],"keyword-net,":[98],"helps":[100],"capture":[104],"key":[106],"generate":[113],"an":[114],"appropriate":[115],"question.":[116],"Experimental":[117],"results":[118],"demonstrate":[119],"separation":[123],"method":[124],"significantly":[125,138],"reduces":[126],"number":[128],"improper":[130],"answers.":[134],"Consequently,":[135],"outperforms":[139],"previous":[140],"state-of-the-art":[141],"models.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":44},{"year":2020,"cited_by_count":41},{"year":2019,"cited_by_count":25}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}