{"id":"https://openalex.org/W4321479982","doi":"https://doi.org/10.1145/3539597.3573040","title":"A Semantic Search Framework for Similar Audit Issue Recommendation in Financial Industry","display_name":"A Semantic Search Framework for Similar Audit Issue Recommendation in Financial Industry","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321479982","doi":"https://doi.org/10.1145/3539597.3573040"},"language":"en","primary_location":{"id":"doi:10.1145/3539597.3573040","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539597.3573040","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3573040","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3573040","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060314338","display_name":"Chuchu Zhang","orcid":"https://orcid.org/0000-0001-9355-0025"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chuchu Zhang","raw_affiliation_strings":["DBS Bank, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9355-0025","affiliations":[{"raw_affiliation_string":"DBS Bank, Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018827329","display_name":"Can Song","orcid":"https://orcid.org/0000-0003-2872-3326"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Can Song","raw_affiliation_strings":["DBS Bank, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-2872-3326","affiliations":[{"raw_affiliation_string":"DBS Bank, Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017162071","display_name":"Samarth Agarwal","orcid":"https://orcid.org/0000-0002-7116-2707"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samarth Agarwal","raw_affiliation_strings":["DBS Bank, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7116-2707","affiliations":[{"raw_affiliation_string":"DBS Bank, Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087440088","display_name":"Huayu Wu","orcid":"https://orcid.org/0000-0001-9942-6885"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huayu Wu","raw_affiliation_strings":["DBS Bank, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9942-6885","affiliations":[{"raw_affiliation_string":"DBS Bank, Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086800553","display_name":"Xuejie Zhang","orcid":"https://orcid.org/0000-0002-8678-0508"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuejie Zhang","raw_affiliation_strings":["DBS Bank, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-8678-0508","affiliations":[{"raw_affiliation_string":"DBS Bank, Singapore, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067435133","display_name":"John Jianan Lu","orcid":"https://orcid.org/0000-0002-4017-561X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Jianan Lu","raw_affiliation_strings":["DBS Bank, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4017-561X","affiliations":[{"raw_affiliation_string":"DBS Bank, Singapore, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01283009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1208","last_page":"1211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9929999709129333,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9929999709129333,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7803843021392822},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.7724379897117615},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6393598914146423},{"id":"https://openalex.org/keywords/workbench","display_name":"Workbench","score":0.54142826795578},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5351940393447876},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5055673122406006},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4461987018585205},{"id":"https://openalex.org/keywords/financial-services","display_name":"Financial services","score":0.4292709529399872},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3019348084926605},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.297608882188797},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.2567936182022095},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09447833895683289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7803843021392822},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.7724379897117615},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6393598914146423},{"id":"https://openalex.org/C2779145975","wikidata":"https://www.wikidata.org/wiki/Q347690","display_name":"Workbench","level":3,"score":0.54142826795578},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5351940393447876},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5055673122406006},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4461987018585205},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.4292709529399872},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3019348084926605},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.297608882188797},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.2567936182022095},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09447833895683289},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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:10.1145/3539597.3573040","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539597.3573040","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3573040","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3539597.3573040","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539597.3573040","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539597.3573040","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321479982.pdf","grobid_xml":"https://content.openalex.org/works/W4321479982.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2892181857","https://openalex.org/W2970641574","https://openalex.org/W2973794125","https://openalex.org/W3021397474","https://openalex.org/W6750755146"],"related_works":["https://openalex.org/W2388509490","https://openalex.org/W2109648960","https://openalex.org/W2050384624","https://openalex.org/W2166015079","https://openalex.org/W2776888796","https://openalex.org/W2388480422","https://openalex.org/W2624268110","https://openalex.org/W2951120646","https://openalex.org/W2356913294","https://openalex.org/W2903672016"],"abstract_inverted_index":{"Audit":[0],"issues":[1,77],"summarize":[2],"the":[3,22,35,107,115,119,127,134],"findings":[4],"during":[5],"audit":[6,50],"reviews":[7],"and":[8,14,28,38,53,73,93,117,131],"provide":[9,118],"valuable":[10],"insights":[11,55],"of":[12,25,40,102],"risks":[13],"control":[15],"gaps":[16],"in":[17,30,140],"a":[18,63,84,88,94,100,111],"financial":[19,31],"institute.":[20],"Despite":[21],"wide":[23],"use":[24,46],"data":[26],"analytics":[27],"NLP":[29],"services,":[32],"due":[33],"to":[34,70,98,137],"diverse":[36],"coverage":[37],"lack":[39],"annotations,":[41],"there":[42],"are":[43,96,129],"very":[44],"few":[45],"cases":[47],"that":[48],"analyze":[49],"issue":[51,103],"writing":[52],"derive":[54],"from":[56],"it.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"deep":[64],"learning":[65],"based":[66,78,90,105],"semantic":[67],"search":[68,91],"framework":[69],"search,":[71],"rank":[72],"recommend":[74],"similar":[75],"past":[76],"on":[79,106],"new":[80],"findings.":[81],"We":[82,122],"adopt":[83],"two-step":[85],"approach.":[86],"First,":[87],"TF-IDF":[89],"algorithm":[92],"Bi-Encoder":[95],"used":[97],"shortlist":[99],"set":[101],"candidates":[104,116],"input":[108],"query.":[109],"Then":[110],"Cross-Encoder":[112],"will":[113,123],"re-rank":[114],"final":[120],"recommendation.":[121],"also":[124],"demonstrate":[125],"how":[126],"models":[128],"deployed":[130],"integrated":[132],"with":[133],"existing":[135],"workbench":[136],"benefit":[138],"auditors":[139],"their":[141],"daily":[142],"work.":[143]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
