{"id":"https://openalex.org/W4388866608","doi":"https://doi.org/10.3233/jifs-234719","title":"Synthetical reasoning for hybrid tabular-textual question answering over multitasking model","display_name":"Synthetical reasoning for hybrid tabular-textual question answering over multitasking model","publication_year":2023,"publication_date":"2023-11-20","ids":{"openalex":"https://openalex.org/W4388866608","doi":"https://doi.org/10.3233/jifs-234719"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-234719","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-234719","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-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/A5020207090","display_name":"Tongzheng Pu","orcid":"https://orcid.org/0000-0002-6769-6116"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongzheng Pu","raw_affiliation_strings":["Yunnan University","School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Yunnan University","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102744848","display_name":"Chongxing Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chongxing Huang","raw_affiliation_strings":["University College London","Faculty of Social and Historical Sciences, University College London, London, UK"],"affiliations":[{"raw_affiliation_string":"University College London","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Faculty of Social and Historical Sciences, University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100300571","display_name":"Yifei Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yifei Yang","raw_affiliation_strings":["The Second Standing Force of National Immigration Administration, Kunming, China"],"affiliations":[{"raw_affiliation_string":"The Second Standing Force of National Immigration Administration, Kunming, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112267004","display_name":"Jingjing Yang","orcid":"https://orcid.org/0000-0002-3309-2189"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjing Yang","raw_affiliation_strings":["Yunnan University","School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Yunnan University","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004290542","display_name":"Ming Huang","orcid":"https://orcid.org/0000-0002-9517-2125"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Huang","raw_affiliation_strings":["Yunnan University","School of Information Science and Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Yunnan University","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004290542","https://openalex.org/A5112267004"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15144775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":"1","first_page":"1059","last_page":"1068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8395729660987854},{"id":"https://openalex.org/keywords/human-multitasking","display_name":"Human multitasking","score":0.6027771830558777},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5622945427894592},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5371046662330627},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.48686710000038147},{"id":"https://openalex.org/keywords/operand","display_name":"Operand","score":0.4711894989013672},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.46500691771507263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4649355113506317},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4585961401462555},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4179341495037079},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37220078706741333},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36203718185424805},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33629274368286133},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26344263553619385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8395729660987854},{"id":"https://openalex.org/C107418235","wikidata":"https://www.wikidata.org/wiki/Q1520565","display_name":"Human multitasking","level":2,"score":0.6027771830558777},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5622945427894592},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5371046662330627},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.48686710000038147},{"id":"https://openalex.org/C55526617","wikidata":"https://www.wikidata.org/wiki/Q719375","display_name":"Operand","level":2,"score":0.4711894989013672},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.46500691771507263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4649355113506317},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4585961401462555},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4179341495037079},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37220078706741333},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36203718185424805},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33629274368286133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26344263553619385},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-234719","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-234719","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W4226487161","https://openalex.org/W4282577605","https://openalex.org/W4288089799","https://openalex.org/W4327861531","https://openalex.org/W4387428079","https://openalex.org/W6769627184","https://openalex.org/W6846284834"],"related_works":["https://openalex.org/W4242930893","https://openalex.org/W4388263628","https://openalex.org/W2488058330","https://openalex.org/W1988895983","https://openalex.org/W3140336604","https://openalex.org/W2940047422","https://openalex.org/W4242426637","https://openalex.org/W3204607391","https://openalex.org/W2964413124","https://openalex.org/W3113264705"],"abstract_inverted_index":{"Hybrid":[0],"tabular-textual":[1,79,204],"question":[2,80],"answering":[3,81],"(QA)":[4],"is":[5,125],"a":[6,75],"crucial":[7],"task":[8],"in":[9,32,101,199],"natural":[10],"language":[11],"processing":[12],"that":[13,169],"involves":[14],"reasoning":[15,26,34,189],"and":[16,27,51,88,112,132,145,149,155],"locating":[17],"answers":[18],"from":[19,48],"various":[20],"information":[21],"sources,":[22],"primarily":[23],"through":[24,127],"numerical":[25,33,188],"span":[28],"extraction.":[29],"Cur-rent":[30],"techniques":[31],"often":[35],"rely":[36],"on":[37],"autoregressive":[38],"models":[39],"to":[40,183],"decode":[41],"program":[42,61,99,118,161,177],"sequences.":[43],"However,":[44],"these":[45,70],"methods":[46],"suffer":[47],"exposure":[49],"bias":[50],"error":[52,110],"propagation,":[53],"which":[54],"can":[55,95],"significantly":[56],"decrease":[57],"the":[58,64,107,115,123,130,139,150,160,171,193,200],"accuracy":[59],"of":[60,85,109,117,122,164,170,187,195,202],"generation":[62,162,178],"as":[63],"decoding":[65],"process":[66],"unfolds.":[67],"To":[68],"address":[69],"challenges,":[71],"this":[72,93],"paper":[73],"proposes":[74],"novel":[76],"multitasking":[77],"hybrid":[78,203],"(MHTTQA)":[82],"framework.":[83],"Instead":[84],"generating":[86],"operators":[87],"operands":[89],"step":[90],"by":[91,143,153],"step,":[92],"framework":[94,198],"independently":[96],"generate":[97],"entire":[98],"tuples":[100],"parallel.":[102],"This":[103],"innovative":[104],"approach":[105],"solves":[106],"problem":[108],"propagation":[111],"greatly":[113],"improves":[114],"speed":[116],"generation.":[119],"The":[120],"effectiveness":[121],"method":[124,166,179],"demonstrated":[126],"experiments":[128],"using":[129],"ConvFinQA":[131],"MultiHiertt":[133],"datasets.":[134],"Our":[135],"proposed":[136,197],"model":[137],"outperforms":[138],"strong":[140],"FinQANet":[141],"baselines":[142,152],"7%":[144],"7.2%":[146],"Exe/Prog":[147],"Acc":[148],"MT2Net":[151],"20.9%":[154],"9.4%":[156],"EM/F1.":[157],"In":[158],"addition,":[159],"rate":[163],"our":[165,175,196],"far":[167],"exceeds":[168],"baseline":[172],"method.":[173],"Additionally,":[174],"non-autoregressive":[176],"exhibits":[180],"greater":[181],"resilience":[182],"an":[184],"increasing":[185],"number":[186],"steps,":[190],"further":[191],"highlighting":[192],"advantages":[194],"field":[201],"QA.":[205]},"counts_by_year":[],"updated_date":"2026-01-08T20:05:33.558190","created_date":"2025-10-10T00:00:00"}
