{"id":"https://openalex.org/W4409019035","doi":"https://doi.org/10.1109/bigcomp64353.2025.00057","title":"Multilingual Table Question Answering for Low-Resource Languages via Selective Question Translation and Cross-Lingual Adaptation","display_name":"Multilingual Table Question Answering for Low-Resource Languages via Selective Question Translation and Cross-Lingual Adaptation","publication_year":2025,"publication_date":"2025-02-09","ids":{"openalex":"https://openalex.org/W4409019035","doi":"https://doi.org/10.1109/bigcomp64353.2025.00057"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp64353.2025.00057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp64353.2025.00057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Big Data and Smart Computing (BigComp)","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/A5100693256","display_name":"Sang\u2010Hyun Cho","orcid":"https://orcid.org/0000-0003-0926-6246"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sanghyun Cho","raw_affiliation_strings":["Pusan National University,Department of Information Convergence Engineering,Busan,South Korea"],"affiliations":[{"raw_affiliation_string":"Pusan National University,Department of Information Convergence Engineering,Busan,South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386964","display_name":"Minho Kim","orcid":"https://orcid.org/0000-0002-8280-3493"},"institutions":[{"id":"https://openalex.org/I197867492","display_name":"Korea Maritime and Ocean University","ror":"https://ror.org/01v7y5b55","country_code":"KR","type":"education","lineage":["https://openalex.org/I197867492"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minho Kim","raw_affiliation_strings":["Korea Maritime and Ocean University,Division of Artificial Intelligence Engineering,Busan,South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Maritime and Ocean University,Division of Artificial Intelligence Engineering,Busan,South Korea","institution_ids":["https://openalex.org/I197867492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101289466","display_name":"Hye-Lynn Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087913","display_name":"Seoul Medical Center","ror":"https://ror.org/002nav185","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801402630","https://openalex.org/I4210087913"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hye-Lynn Kim","raw_affiliation_strings":["R&D Center AI LAB HDC LABS,Seoul,South Korea"],"affiliations":[{"raw_affiliation_string":"R&D Center AI LAB HDC LABS,Seoul,South Korea","institution_ids":["https://openalex.org/I4210087913"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078652922","display_name":"Jung\u2010Hun Lee","orcid":"https://orcid.org/0000-0003-0293-0837"},"institutions":[{"id":"https://openalex.org/I204974687","display_name":"Dong-Eui University","ror":"https://ror.org/059g69b28","country_code":"KR","type":"education","lineage":["https://openalex.org/I204974687"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung-Hun Lee","raw_affiliation_strings":["Dong-Eui University,Department of Artificial Intelligence,Busan,South Korea"],"affiliations":[{"raw_affiliation_string":"Dong-Eui University,Department of Artificial Intelligence,Busan,South Korea","institution_ids":["https://openalex.org/I204974687"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089151678","display_name":"Hyuk\u2010Chul Kwon","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyuk-Chul Kwon","raw_affiliation_strings":["Pusan National University,Department of Computer Science and Engineering,Busan,South Korea"],"affiliations":[{"raw_affiliation_string":"Pusan National University,Department of Computer Science and Engineering,Busan,South Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100693256"],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0299948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"264","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9943000078201294,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9711999893188477,"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":0.7652517557144165},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6872373819351196},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6489659547805786},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5787743926048279},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5240773558616638},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4989171028137207},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.4809547960758209},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4408789873123169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4321776032447815},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.389944851398468},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.334652304649353},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15585577487945557},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10213246941566467}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652517557144165},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6872373819351196},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6489659547805786},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5787743926048279},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5240773558616638},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4989171028137207},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.4809547960758209},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4408789873123169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4321776032447815},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.389944851398468},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.334652304649353},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15585577487945557},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10213246941566467},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp64353.2025.00057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp64353.2025.00057","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2963748441","https://openalex.org/W2963899988","https://openalex.org/W2984402309","https://openalex.org/W3035390927","https://openalex.org/W3165753548","https://openalex.org/W4285239586","https://openalex.org/W4293069392","https://openalex.org/W4399811674","https://openalex.org/W6637618735","https://openalex.org/W6767108859","https://openalex.org/W6773813506","https://openalex.org/W6774314701","https://openalex.org/W6775596854","https://openalex.org/W6776073429","https://openalex.org/W6777788148","https://openalex.org/W6779775823","https://openalex.org/W6783935634","https://openalex.org/W6784329613","https://openalex.org/W6794072106","https://openalex.org/W6798821717","https://openalex.org/W6810078950","https://openalex.org/W6810339692","https://openalex.org/W6839744842","https://openalex.org/W6846577628"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W3159777597","https://openalex.org/W2883671469","https://openalex.org/W2728761353"],"abstract_inverted_index":{"Table":[0,58],"question":[1,19,48,96,111,115,167],"answering":[2,20,49,97,116,168],"datasets":[3,21,38,118],"have":[4],"been":[5],"released":[6],"in":[7,24,65,145,172,201],"various":[8],"table":[9,18,47,95,104,117,132,143,166,189,223],"sources":[10],"and":[11,56,75,92,138,156],"diverse":[12],"tasks.":[13,50],"However,":[14],"most":[15,202],"of":[16,103,113,134,203,226],"these":[17],"are":[22],"constructed":[23],"resource-rich":[25],"languages":[26,173,205],"like":[27],"English.":[28],"For":[29],"low-resource":[30],"languages,":[31,218],"it":[32],"is":[33,63,69],"necessary":[34],"to":[35,43,85],"create":[36],"new":[37,94],"or":[39],"translate":[40],"existing":[41],"ones":[42],"train":[44],"models":[45],"on":[46,188],"This":[51],"process":[52],"requires":[53],"substantial":[54],"costs":[55,88],"manpower.":[57],"data,":[59,105],"unlike":[60],"natural":[61],"text,":[62],"structured":[64],"a":[66,83,184],"way":[67],"that":[68],"less":[70],"affected":[71],"by":[72,128],"word":[73],"order":[74],"language-specific":[76],"characteristics.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81,106,149,181],"propose":[82],"method":[84],"minimize":[86,123],"the":[87,101,110,114,124,130,135,142,146,161,176,204,208,221],"associated":[89],"with":[90],"translating":[91,108],"applying":[93],"datasets.":[98],"By":[99],"leveraging":[100],"characteristics":[102],"suggest":[107],"only":[109],"data":[112,133,144,190,212,224],"into":[119],"multiple":[120],"languages.":[121],"To":[122,159],"performance":[125,171,199,215],"degradation":[126],"caused":[127],"using":[129,153,191,210],"native":[131],"original":[136],"dataset":[137],"not":[139],"directly":[140],"utilizing":[141],"target":[147],"language,":[148],"applied":[150],"adaptation":[151,197],"methods":[152],"contrastive":[154],"learning":[155],"adversarial":[157],"training.":[158],"enhance":[160],"reasoning":[162],"capabilities":[163],"required":[164],"for":[165,179],"without":[169],"diminishing":[170],"other":[174],"than":[175],"one":[177],"used":[178],"pre-training,":[180],"further":[182],"pre-trained":[183],"RoBERTa-based":[185],"multilingual":[186],"encoder":[187],"SQL":[192,211],"data.":[193,228],"The":[194],"proposed":[195],"cross-lingual":[196],"demonstrated":[198],"improvements":[200],"evaluated.":[206],"Additionally,":[207],"pre-training":[209,222],"significantly":[213],"improved":[214],"across":[216],"all":[217],"even":[219],"though":[220],"consisted":[225],"English":[227]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}