{"id":"https://openalex.org/W3089948417","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207483","title":"RAD: Reinforced Attention Decoder Model On Question Generation","display_name":"RAD: Reinforced Attention Decoder Model On Question Generation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089948417","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207483","mag":"3089948417"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5100353872","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-4559-4610"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Li","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011008665","display_name":"Zhen Huang","orcid":"https://orcid.org/0000-0003-4819-373X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Huang","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415292","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0002-6219-9575"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102003608","display_name":"Changjian Wang","orcid":"https://orcid.org/0000-0002-1160-0365"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjian Wang","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814774","display_name":"Minghao Hu","orcid":"https://orcid.org/0000-0002-5002-3724"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Hu","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640834","display_name":"Shiyi Xu","orcid":"https://orcid.org/0000-0003-4158-1051"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyi Xu","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101645557","display_name":"Yuxing Peng","orcid":"https://orcid.org/0000-0002-8223-5588"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxing Peng","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100353872"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54930814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9980000257492065,"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":0.9779999852180481,"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":0.7931476831436157},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6866346001625061},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6814030408859253},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6408689618110657},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6234431266784668},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5801973342895508},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.579666018486023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5474158525466919},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.459276020526886},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4542837142944336},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4515511095523834},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4487548768520355},{"id":"https://openalex.org/keywords/mainstream","display_name":"Mainstream","score":0.4428381621837616},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.4133802652359009},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40009909868240356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38916581869125366},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13914495706558228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7931476831436157},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6866346001625061},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6814030408859253},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6408689618110657},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6234431266784668},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5801973342895508},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.579666018486023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5474158525466919},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.459276020526886},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4542837142944336},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4515511095523834},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4487548768520355},{"id":"https://openalex.org/C2777617010","wikidata":"https://www.wikidata.org/wiki/Q18957","display_name":"Mainstream","level":2,"score":0.4428381621837616},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.4133802652359009},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40009909868240356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38916581869125366},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13914495706558228},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4699999988079071,"display_name":"Quality Education"},{"id":"https://metadata.un.org/sdg/16","score":0.4300000071525574,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W1026270304","https://openalex.org/W1821462560","https://openalex.org/W1902237438","https://openalex.org/W2121863487","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2212703438","https://openalex.org/W2251599843","https://openalex.org/W2466062786","https://openalex.org/W2597655663","https://openalex.org/W2606333299","https://openalex.org/W2610891036","https://openalex.org/W2740765036","https://openalex.org/W2757978590","https://openalex.org/W2803023299","https://openalex.org/W2889670144","https://openalex.org/W2890166583","https://openalex.org/W2891913177","https://openalex.org/W2891946694","https://openalex.org/W2896457183","https://openalex.org/W2935811960","https://openalex.org/W2950621961","https://openalex.org/W2951225533","https://openalex.org/W2962717047","https://openalex.org/W2962801832","https://openalex.org/W2962808855","https://openalex.org/W2963084599","https://openalex.org/W2963091079","https://openalex.org/W2963266340","https://openalex.org/W2963339397","https://openalex.org/W2963341956","https://openalex.org/W2963627339","https://openalex.org/W2963647696","https://openalex.org/W2963748441","https://openalex.org/W2964222566","https://openalex.org/W2964304126","https://openalex.org/W2964308564","https://openalex.org/W2985694911","https://openalex.org/W3020206637","https://openalex.org/W6626481562","https://openalex.org/W6638523607","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6688167117","https://openalex.org/W6735377749","https://openalex.org/W6736830713","https://openalex.org/W6750384732","https://openalex.org/W6751751081","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W3158047162","https://openalex.org/W3087967927"],"abstract_inverted_index":{"Question":[0],"Generation":[1],"(QG)":[2],"aims":[3],"to":[4,91,106,126],"construct":[5],"questions":[6],"from":[7,121],"given":[8],"text":[9],"automatically.":[10],"Recently,":[11],"QG":[12],"has":[13],"received":[14],"widely":[15],"concerned.":[16],"The":[17],"mainstream":[18],"method":[19],"is":[20,75],"still":[21],"based":[22],"on":[23,64,103,139],"the":[24,36,42,57,65,68,77,85,88,93,100,104,112,153,158],"fixed":[25],"sequence":[26],"generation":[27,39,95],"model":[28,62,125,129,146],"of":[29,38,67,79,150,152],"Seq2Seq":[30],"model,":[31],"and":[32,82],"few":[33],"people":[34],"consider":[35],"influence":[37],"order":[40],"in":[41],"result.":[43],"In":[44,156],"this":[45],"paper,":[46],"we":[47,98],"present":[48],"a":[49],"novel":[50],"Reinforced":[51],"Attention":[52,101],"Decoder":[53],"Neural":[54],"Network":[55,90],"for":[56],"QA-SRL":[58,140],"task.":[59],"First,":[60],"our":[61,145],"draws":[63],"idea":[66],"reinforcement":[69],"learning":[70],"algorithm":[71],"with":[72],"baseline,":[73],"which":[74],"using":[76],"accuracy":[78],"each":[80],"slot":[81],"sentence":[83],"as":[84],"reward,":[86],"updating":[87],"Policy":[89],"predict":[92],"optimal":[94],"order.":[96],"Second,":[97],"apply":[99],"mechanism":[102],"baseline":[105],"get":[107],"more":[108],"relevant":[109],"information":[110],"about":[111],"entire":[113],"sentence.":[114],"Addition":[115],"experiments":[116,138],"explore":[117],"that":[118,144],"distilling":[119],"knowledge":[120],"RAD":[122],"(the":[123,130],"teacher)":[124],"guide":[127],"RAD-Reborn":[128],"student)":[131],"training":[132],"can":[133],"achieve":[134],"better":[135],"performance.":[136],"Extensive":[137],"Bank":[141],"2.0":[142],"show":[143],"outperforms":[147],"previous":[148],"systems":[149],"all":[151],"evaluation":[154],"metrics.":[155],"particular,":[157],"metric":[159],"EM":[160],"(Exact":[161],"Match)":[162],"increased":[163],"significantly":[164],"by":[165],"over":[166],"3%.":[167]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}