{"id":"https://openalex.org/W4281757736","doi":"https://doi.org/10.1145/3529466.3529484","title":"Transformer-based Question Text Generation in the Learning System","display_name":"Transformer-based Question Text Generation in the Learning System","publication_year":2022,"publication_date":"2022-03-04","ids":{"openalex":"https://openalex.org/W4281757736","doi":"https://doi.org/10.1145/3529466.3529484"},"language":"en","primary_location":{"id":"doi:10.1145/3529466.3529484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529466.3529484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 the 6th International Conference on Innovation in Artificial Intelligence (ICIAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100352041","display_name":"Jiajun Li","orcid":"https://orcid.org/0000-0002-7208-9345"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JiaJun Li","raw_affiliation_strings":["Wuhan University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069540038","display_name":"Huazhu Song","orcid":"https://orcid.org/0000-0003-3174-6203"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HuaZhu Song","raw_affiliation_strings":["Wuhan University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100361745","display_name":"Jun Li","orcid":"https://orcid.org/0000-0002-0209-8043"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["Wuhan University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"50","last_page":"56"},"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":0.9919000267982483,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9794999957084656,"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/transformer","display_name":"Transformer","score":0.8056987524032593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7797994017601013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6376162767410278},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5307495594024658},{"id":"https://openalex.org/keywords/text-generation","display_name":"Text generation","score":0.42095592617988586},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4116697311401367},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4100978970527649},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3750137686729431},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2439054548740387},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06969234347343445}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.8056987524032593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7797994017601013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6376162767410278},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5307495594024658},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.42095592617988586},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4116697311401367},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4100978970527649},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3750137686729431},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2439054548740387},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06969234347343445},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529466.3529484","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529466.3529484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 the 6th International Conference on Innovation in Artificial Intelligence (ICIAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2470673105","https://openalex.org/W2559114258","https://openalex.org/W2739716023"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W4313307225","https://openalex.org/W3206132041","https://openalex.org/W4362570934"],"abstract_inverted_index":{"Question":[0],"text":[1,20,39],"generation":[2,54,124],"from":[3],"the":[4,17,26,43,57,72,90,98,115,120,128,135],"triple":[5],"in":[6,12,105],"knowledge":[7],"graph":[8],"exists":[9],"some":[10,61],"challenges":[11],"learning":[13],"system.":[14],"One":[15],"is":[16,21,28,112,131],"generated":[18],"question":[19,38,53,59,102,123],"difficult":[22],"to":[23,55,70,86],"be":[24],"understood;":[25],"other":[27],"it":[29],"considers":[30],"few":[31],"contexts.":[32],"Therefore,":[33],"this":[34,65],"paper":[35,66],"focuses":[36],"on":[37,42,95,127],"generation.":[40],"Based":[41],"traditional":[44,136],"Bi-LSTM+Attention":[45],"network":[46,140],"model,":[47],"we":[48],"import":[49],"Transformer":[50,129],"model":[51,130],"into":[52],"get":[56,71],"simple":[58],"with":[60,97],"triples.":[62],"In":[63],"addition,":[64],"proposes":[67],"a":[68,82,101,108],"method":[69],"diverse":[73],"expressions":[74,80],"of":[75,79,81,89,100,122],"questions":[76],"(a":[77],"variety":[78],"question),":[83],"that":[84,119],"is,":[85],"take":[87],"advantage":[88],"semantic":[91],"similarity":[92],"algorithm":[93],"based":[94,126],"Bi-LSTM":[96,137],"help":[99],"database":[103],"constructed":[104],"advance.":[106],"Finally,":[107],"corresponding":[109],"comparison":[110],"experiment":[111,125],"designed,":[113],"and":[114],"experimental":[116],"results":[117],"demonstrated":[118],"accuracy":[121],"8.36%":[132],"higher":[133],"than":[134],"+":[138],"Attention":[139],"model.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
