{"id":"https://openalex.org/W3090398892","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207643","title":"Controllable Question Generation via Sequence-to-Sequence Neural Model with Auxiliary Information","display_name":"Controllable Question Generation via Sequence-to-Sequence Neural Model with Auxiliary Information","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090398892","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207643","mag":"3090398892"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207643","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/A5019945476","display_name":"Zhen Cao","orcid":"https://orcid.org/0009-0000-3694-5354"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Zhen Cao","raw_affiliation_strings":["School of EEE, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of EEE, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058967851","display_name":"Sivanagaraja Tatinati","orcid":"https://orcid.org/0000-0002-7599-5538"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sivanagaraja Tatinati","raw_affiliation_strings":["School of EEE, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of EEE, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010202250","display_name":"Andy W. H. Khong","orcid":"https://orcid.org/0000-0002-0708-4791"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Andy W. H. Khong","raw_affiliation_strings":["School of EEE, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of EEE, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019945476"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.5498717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9929999709129333,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8163982033729553},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6615661382675171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5881937742233276},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5800963044166565},{"id":"https://openalex.org/keywords/copying","display_name":"Copying","score":0.5427851676940918},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5044251680374146},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4990975856781006},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.45428726077079773},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.44404488801956177},{"id":"https://openalex.org/keywords/sequence-learning","display_name":"Sequence learning","score":0.420507550239563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38817131519317627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8163982033729553},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6615661382675171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5881937742233276},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5800963044166565},{"id":"https://openalex.org/C2779151265","wikidata":"https://www.wikidata.org/wiki/Q1156791","display_name":"Copying","level":2,"score":0.5427851676940918},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5044251680374146},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4990975856781006},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.45428726077079773},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.44404488801956177},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.420507550239563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38817131519317627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207643","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","display_name":"Quality Education","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W803028973","https://openalex.org/W1485318003","https://openalex.org/W1522301498","https://openalex.org/W1531374185","https://openalex.org/W1606489891","https://openalex.org/W1746576523","https://openalex.org/W1902237438","https://openalex.org/W2101105183","https://openalex.org/W2133459682","https://openalex.org/W2154652894","https://openalex.org/W2250539671","https://openalex.org/W2275056699","https://openalex.org/W2606333299","https://openalex.org/W2797291779","https://openalex.org/W2804292122","https://openalex.org/W2805129228","https://openalex.org/W2889670144","https://openalex.org/W2890166583","https://openalex.org/W2891946694","https://openalex.org/W2911857455","https://openalex.org/W2914130867","https://openalex.org/W2962717047","https://openalex.org/W2962944953","https://openalex.org/W2962977247","https://openalex.org/W2963351776","https://openalex.org/W2963748441","https://openalex.org/W2964121744","https://openalex.org/W2964236999","https://openalex.org/W2964912036","https://openalex.org/W6622762108","https://openalex.org/W6631190155","https://openalex.org/W6631875545","https://openalex.org/W6682631176","https://openalex.org/W6736830713","https://openalex.org/W6752227367","https://openalex.org/W6758785255","https://openalex.org/W6844673654","https://openalex.org/W6898505805","https://openalex.org/W6922068600"],"related_works":["https://openalex.org/W4308771405","https://openalex.org/W2355873265","https://openalex.org/W2963669501","https://openalex.org/W3112369086","https://openalex.org/W3080197661","https://openalex.org/W4318471783","https://openalex.org/W2760667490","https://openalex.org/W2991781269","https://openalex.org/W775724729","https://openalex.org/W2137489486"],"abstract_inverted_index":{"Automatic":[0],"question":[1,82],"generation":[2,83],"(QG)":[3],"has":[4,175],"found":[5],"applications":[6],"in":[7,16,44,68,73,116],"the":[8,32,42,48,69,112,164,176],"education":[9],"sector":[10],"and":[11,27,62,105],"to":[12,47,110,127,178],"enhance":[13],"human-machine":[14],"interactions":[15],"chatbots.":[17],"Existing":[18],"neural":[19,38],"QG":[20,39,147,171],"models":[21,40],"can":[22,71],"be":[23],"categorized":[24],"into":[25],"answer-unaware":[26],"answer-aware":[28],"models.":[29],"One":[30],"of":[31,50,120],"main":[33],"challenges":[34],"faced":[35],"by":[36],"existing":[37,170],"is":[41,143,149],"degradation":[43],"performance":[45],"due":[46],"issue":[49],"one-to-many":[51,113],"mapping,":[52],"where,":[53],"given":[54,185],"a":[55,80,156,186],"passage,":[56],"both":[57],"answer":[58],"(query":[59],"interest/question":[60],"intent)":[61],"auxiliary":[63,106,141,153],"information":[64,66,107,142,154],"(context":[65],"present":[67],"question)":[70],"result":[72],"different":[74],"questions":[75,181],"being":[76],"generated.":[77],"We":[78],"propose":[79],"controllable":[81],"model":[84,94,166],"(CQG)":[85],"that":[86,163,182],"employs":[87],"an":[88,135],"attentive":[89],"sequence-to-sequence":[90],"(seq2seq)":[91],"based":[92],"generative":[93],"with":[95,152],"copying":[96],"mechanism.":[97],"The":[98],"proposed":[99,165],"CQG":[100,126],"also":[101,150,174],"incorporates":[102],"query":[103],"interest":[104],"as":[108],"controllers":[109],"address":[111],"mapping":[114],"problem":[115],"QG.":[117],"Two":[118],"variants":[119],"embedding":[121],"strategies":[122],"are":[123,183],"designed":[124],"for":[125,139],"achieve":[128],"good":[129],"performance.":[130],"To":[131],"verify":[132],"its":[133],"performance,":[134],"automatic":[136],"labeling":[137],"scheme":[138],"harvesting":[140],"first":[144],"developed.":[145],"A":[146],"dataset":[148],"annotated":[151],"from":[155],"reading":[157],"comprehension":[158],"dataset.":[159],"Performance":[160],"evaluation":[161],"shows":[162],"not":[167],"only":[168],"outperforms":[169],"models,":[172],"it":[173],"potential":[177],"generate":[179],"multiple":[180],"relevant":[184],"single":[187],"passage.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
