{"id":"https://openalex.org/W4288388982","doi":"https://doi.org/10.1109/jcsse54890.2022.9836271","title":"Question Generation in the Thai Language Using MT5","display_name":"Question Generation in the Thai Language Using MT5","publication_year":2022,"publication_date":"2022-06-22","ids":{"openalex":"https://openalex.org/W4288388982","doi":"https://doi.org/10.1109/jcsse54890.2022.9836271"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse54890.2022.9836271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse54890.2022.9836271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","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/A5044099796","display_name":"Nutthanit Wiwatbutsiri","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Nutthanit Wiwatbutsiri","raw_affiliation_strings":["Chulalongkorn University,Department of Computer Engineering,Bangkok,Thailand,10500"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Department of Computer Engineering,Bangkok,Thailand,10500","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031314136","display_name":"Atiwong Suchato","orcid":"https://orcid.org/0000-0001-8151-8415"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Atiwong Suchato","raw_affiliation_strings":["Chulalongkorn University,Department of Computer Engineering,Bangkok,Thailand,10500"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Department of Computer Engineering,Bangkok,Thailand,10500","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034779160","display_name":"Proadpran Punyabukkana","orcid":"https://orcid.org/0000-0002-8590-3107"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Proadpran Punyabukkana","raw_affiliation_strings":["Chulalongkorn University,Department of Computer Engineering,Bangkok,Thailand,10500"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Department of Computer Engineering,Bangkok,Thailand,10500","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065172862","display_name":"Nuengwong Tuaycharoen","orcid":"https://orcid.org/0000-0003-1765-6105"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nuengwong Tuaycharoen","raw_affiliation_strings":["Chulalongkorn University,Department of Computer Engineering,Bangkok,Thailand,10500"],"affiliations":[{"raw_affiliation_string":"Chulalongkorn University,Department of Computer Engineering,Bangkok,Thailand,10500","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044099796"],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.2652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60591181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"109","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9941999912261963,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9469000101089478,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/fluency","display_name":"Fluency","score":0.8007948398590088},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7286930680274963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6607837677001953},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6415508985519409},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6213288903236389},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5785598158836365},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4951097071170807},{"id":"https://openalex.org/keywords/english-language","display_name":"English language","score":0.4128773510456085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4088800847530365},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3488563299179077},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1266016960144043},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.10832270979881287}],"concepts":[{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.8007948398590088},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7286930680274963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6607837677001953},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6415508985519409},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6213288903236389},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5785598158836365},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4951097071170807},{"id":"https://openalex.org/C2987496018","wikidata":"https://www.wikidata.org/wiki/Q1860","display_name":"English language","level":2,"score":0.4128773510456085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4088800847530365},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3488563299179077},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1266016960144043},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.10832270979881287},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcsse54890.2022.9836271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse54890.2022.9836271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8700000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W321051970","https://openalex.org/W1531374185","https://openalex.org/W2109609717","https://openalex.org/W2962717047","https://openalex.org/W2964236999","https://openalex.org/W2984284833","https://openalex.org/W2988673764","https://openalex.org/W3022039293","https://openalex.org/W3041133507","https://openalex.org/W3045683574","https://openalex.org/W3101007570","https://openalex.org/W3169483174","https://openalex.org/W4385245566","https://openalex.org/W6631875545","https://openalex.org/W6739901393","https://openalex.org/W6769915798","https://openalex.org/W6776501608","https://openalex.org/W6784577980","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2365169615","https://openalex.org/W1970538215","https://openalex.org/W2400151637","https://openalex.org/W2975827637","https://openalex.org/W2354089692","https://openalex.org/W595497825","https://openalex.org/W4236323843","https://openalex.org/W4287644835","https://openalex.org/W3092281475","https://openalex.org/W3098003361"],"abstract_inverted_index":{"There":[0],"are":[1,20],"numerous":[2],"publications":[3],"of":[4,51,77,109,132],"Question":[5],"Generation":[6],"(QG)":[7],"in":[8,12,22,33,117],"English":[9,24],"but":[10],"few":[11],"Thai.":[13],"More":[14],"than":[15],"a":[16,40,49,58,70,74,81,93,106],"million":[17],"question-answer":[18,31],"pairs":[19,32],"available":[21],"the":[23,34,65,101,114,122,127],"language,":[25],"compared":[26],"with":[27],"only":[28],"around":[29],"12,000":[30],"Thai":[35,45,71],"language.":[36],"This":[37],"paper":[38],"presents":[39],"method":[41,82],"to":[42,83],"improve":[43],"automatic":[44],"answer-agnostic":[46],"QG":[47,59],"from":[48,69,113],"dataset":[50,72],"insufficient":[52],"size.":[53],"Our":[54,97],"evaluation":[55,116],"showed":[56],"that":[57],"model":[60,67,99,103],"which":[61],"was":[62,120],"trained":[63],"by":[64,91,104],"pre-trained":[66,95],"MT5":[68],"achieved":[73],"BLEU-1":[75,107],"score":[76,108,119,124,129],"56.19.":[78],"We":[79],"proposed":[80],"generate":[84],"synthetic":[85],"data":[86],"and":[87,126],"an":[88],"additional":[89],"mechanism":[90],"using":[92],"single":[94],"model.":[96],"best":[98],"outperformed":[100],"previous":[102],"achieving":[105],"59.03.":[110],"The":[111],"results":[112],"human":[115],"fluency":[118],"4.40,":[121],"relevance":[123],"4.65,":[125],"answer-ability":[128],"4.7":[130],"out":[131],"5.0.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}