{"id":"https://openalex.org/W4405306476","doi":"https://doi.org/10.1109/icis61260.2024.10778381","title":"InsureTVQA: A Progressive Text-Visual Question Answering Method for Insurance Domain","display_name":"InsureTVQA: A Progressive Text-Visual Question Answering Method for Insurance Domain","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4405306476","doi":"https://doi.org/10.1109/icis61260.2024.10778381"},"language":"en","primary_location":{"id":"doi:10.1109/icis61260.2024.10778381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis61260.2024.10778381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 24th International Conference on Computer and Information Science (ICIS)","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/A5112332635","display_name":"Weijie Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijie Tang","raw_affiliation_strings":["School of Computer and Information Engineering, Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038168944","display_name":"Ruiling Gao","orcid":"https://orcid.org/0000-0003-3095-0202"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiling Gao","raw_affiliation_strings":["School of Computer and Information Engineering, Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101864135","display_name":"Wenan Tan","orcid":"https://orcid.org/0000-0002-5651-0849"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenan Tan","raw_affiliation_strings":["School of Computer and Information Engineering, Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018839181","display_name":"Jin Zhang","orcid":"https://orcid.org/0000-0001-5161-9936"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Zhang","raw_affiliation_strings":["School of Computer and Information Engineering, Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112332635"],"corresponding_institution_ids":["https://openalex.org/I135905480"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23606786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9919000267982483,"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":0.9718999862670898,"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/question-answering","display_name":"Question answering","score":0.8059366941452026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7008721828460693},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5434442162513733},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46961814165115356},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3498702049255371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3302258253097534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08261561393737793}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8059366941452026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008721828460693},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5434442162513733},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46961814165115356},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3498702049255371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3302258253097534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08261561393737793},{"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/icis61260.2024.10778381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis61260.2024.10778381","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 24th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5400000214576721,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1933349210","https://openalex.org/W2732016772","https://openalex.org/W2963717374","https://openalex.org/W2964067226","https://openalex.org/W2979382951","https://openalex.org/W2997154779","https://openalex.org/W3034336960","https://openalex.org/W3094071022","https://openalex.org/W3108319047","https://openalex.org/W3181159501","https://openalex.org/W4386071473","https://openalex.org/W4390873421"],"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/W4212839359","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Visual":[0,111],"question":[1,11,138],"answering":[2],"(VQA)":[3],"is":[4],"a":[5,10,65,92,98],"multimodal":[6],"task":[7],"which":[8,69],"answer":[9],"related":[12],"to":[13,20,45,87],"an":[14],"image.":[15],"Existing":[16],"VQA":[17],"methods":[18],"tend":[19],"focus":[21],"on":[22,26,48,106],"the":[23,27,32,36,39,51,55,59,89,107,117,121,126],"target":[24],"object":[25],"visual":[28,137],"level":[29],"and":[30,57,79,97,116,134],"ignore":[31],"textual":[33,52,127],"information":[34,129],"in":[35,38,54],"image,":[37],"actual":[40],"insurance":[41,131],"domain,":[42],"what":[43],"needs":[44],"be":[46,50],"focused":[47],"should":[49],"content":[53],"image":[56],"comprehends":[58],"text":[60,72,76,93,99,136],"semantics.":[61],"This":[62],"paper":[63,90],"proposes":[64,91],"progressive":[66],"method":[67,122],"InsureTVQA,":[68],"integrates":[70],"DBNet":[71],"detection":[73],"model,":[74,78],"CRNN":[75],"recognition":[77],"RoBERTa-wwm":[80],"machine":[81],"reading":[82],"comprehension":[83],"model.":[84],"In":[85],"addition":[86],"this,":[88],"box":[94],"reorder":[95],"algorithm":[96],"relevance":[100],"filtering":[101],"algorithm.":[102],"Experiments":[103],"are":[104],"conducted":[105],"AIWIN2021":[108],"Insurance":[109],"Text":[110],"Cognitive":[112],"Question":[113],"Competition":[114],"dataset,":[115],"results":[118],"show":[119],"that":[120],"can":[123],"effectively":[124],"learn":[125],"contextual":[128],"of":[130],"domain":[132],"images":[133],"complete":[135],"answering.":[139]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
