{"id":"https://openalex.org/W2991363980","doi":"https://doi.org/10.1109/smc.2019.8914614","title":"SAC-Net: Stroke-Aware Copy Network for Chinese Neural Question Generation","display_name":"SAC-Net: Stroke-Aware Copy Network for Chinese Neural Question Generation","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2991363980","doi":"https://doi.org/10.1109/smc.2019.8914614","mag":"2991363980"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2019.8914614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","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/A5100318285","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-8077-7025"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Department of Control Science and Engineering, Tongii University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongii University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006206015","display_name":"Qi Kang","orcid":"https://orcid.org/0000-0001-7128-6913"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Kang","raw_affiliation_strings":["Department of Control Science and Engineering, Tongii University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongii University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050916383","display_name":"BinChen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binchen Xu","raw_affiliation_strings":["Department of Control Science and Engineering, Tongii University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongii University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100425167","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0001-9884-5199"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Department of Control Science and Engineering, Tongii University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, Tongii University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.2187,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54491273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":null,"first_page":"4076","last_page":"4081"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9983000159263611,"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":0.9797000288963318,"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":0.772850751876831},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.6998517513275146},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.6016737818717957},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5465589761734009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5462453365325928},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5097036361694336},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.488874614238739},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47394683957099915},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.468810111284256},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17365193367004395},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0841539204120636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.772850751876831},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.6998517513275146},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.6016737818717957},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5465589761734009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5462453365325928},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5097036361694336},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.488874614238739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47394683957099915},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.468810111284256},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17365193367004395},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0841539204120636},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2019.8914614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2019.8914614","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1501139663","https://openalex.org/W1522301498","https://openalex.org/W1531374185","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2137006453","https://openalex.org/W2154652894","https://openalex.org/W2160490183","https://openalex.org/W2161970254","https://openalex.org/W2275056699","https://openalex.org/W2306172304","https://openalex.org/W2376694580","https://openalex.org/W2582715667","https://openalex.org/W2606333299","https://openalex.org/W2624022918","https://openalex.org/W2734479159","https://openalex.org/W2753943679","https://openalex.org/W2754085660","https://openalex.org/W2754582354","https://openalex.org/W2754632396","https://openalex.org/W2756289222","https://openalex.org/W2777514883","https://openalex.org/W2779727709","https://openalex.org/W2788009253","https://openalex.org/W2803595284","https://openalex.org/W2804340650","https://openalex.org/W2804552794","https://openalex.org/W2812757605","https://openalex.org/W2891913177","https://openalex.org/W2891946694","https://openalex.org/W2911857455","https://openalex.org/W2919101414","https://openalex.org/W2944692378","https://openalex.org/W2962717047","https://openalex.org/W2962739339","https://openalex.org/W2963351776","https://openalex.org/W2963627339","https://openalex.org/W2963957489","https://openalex.org/W2964165364","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6631875545","https://openalex.org/W6674330103","https://openalex.org/W6682631176","https://openalex.org/W6736830713","https://openalex.org/W6739136287","https://openalex.org/W6739901393","https://openalex.org/W6746490324","https://openalex.org/W6747049934","https://openalex.org/W6752699180","https://openalex.org/W6755013920","https://openalex.org/W6758744248","https://openalex.org/W6898505805","https://openalex.org/W6922068600"],"related_works":["https://openalex.org/W2363102944","https://openalex.org/W2349784553","https://openalex.org/W3022596247","https://openalex.org/W2601444686","https://openalex.org/W4307058054","https://openalex.org/W4292238148","https://openalex.org/W4323660495","https://openalex.org/W2088836968","https://openalex.org/W1997182898","https://openalex.org/W2359043972"],"abstract_inverted_index":{"Question":[0,35],"Generation":[1,36],"aims":[2],"to":[3,30,32,48,98],"create":[4],"various":[5,77],"questions":[6],"from":[7],"a":[8,38,45,56,63,150,170],"given":[9],"passage,":[10],"which":[11,42,61,128],"can":[12,67],"provide":[13],"education":[14],"material,":[15],"improve":[16],"the":[17,69,88,91,104,112,122,126,136,161],"training":[18],"of":[19,71,87,93,106,125,163],"question":[20,73],"answering,":[21],"and":[22,80,110,168],"help":[23],"chat":[24],"bots":[25],"have":[26],"cold-to-start":[27],"or":[28],"continue":[29],"talk":[31],"people.":[33],"Chinese":[34,72,83,94,109,117,164,173],"is":[37,62,96],"new":[39],"research":[40,102,147],"area,":[41],"mainly":[43],"uses":[44],"rule-based":[46],"model":[47,120,159],"convert":[49],"declarative":[50],"sentences":[51],"into":[52],"questions.":[53,134],"We":[54],"propose":[55],"Stroke-Aware":[57],"Copy":[58,152],"Network":[59],"(SAC-Net),":[60],"sequence-to-sequence":[64],"model.":[65,176],"It":[66],"enhance":[68],"performance":[70,162],"generation":[74,166,175],"by":[75],"using":[76],"specific":[78],"components":[79],"techniques":[81],"for":[82],"characteristics.":[84],"In":[85],"view":[86],"fact":[89],"that":[90,141,157],"morphology":[92],"characters":[95],"related":[97],"its":[99],"meaning,":[100],"this":[101,146,158],"introduces":[103,121],"information":[105,124],"strokes":[107,115],"in":[108,116,144],"obtain":[111],"relationship":[113],"among":[114],"characters.":[118],"This":[119],"direction":[123],"questions,":[127],"helps":[129],"us":[130],"generate":[131],"more":[132],"diverse":[133],"For":[135],"out-of-vocabulary":[137],"(OOV)":[138],"word":[139],"problem":[140,165,174],"often":[142],"occurs":[143],"Chinese,":[145],"has":[148],"improved":[149],"Self-attention":[151],"mechanism.":[153],"Extensive":[154],"evaluations":[155],"confirm":[156],"improves":[160],"significantly":[167],"represents":[169],"state-of-the-art":[171],"neural":[172]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
