{"id":"https://openalex.org/W4220810784","doi":"https://doi.org/10.1145/3487553.3524635","title":"FiNCAT: Financial Numeral Claim Analysis Tool","display_name":"FiNCAT: Financial Numeral Claim Analysis Tool","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4220810784","doi":"https://doi.org/10.1145/3487553.3524635"},"language":"en","primary_location":{"id":"doi:10.1145/3487553.3524635","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524635","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524635","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524635","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053425471","display_name":"Sohom Ghosh","orcid":"https://orcid.org/0000-0002-4113-0958"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sohom Ghosh","raw_affiliation_strings":["Artificial Intelligence, Center of Excellence, Fidelity Investments, India and Computer Science and Engineering, Jadavpur University, India"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence, Center of Excellence, Fidelity Investments, India and Computer Science and Engineering, Jadavpur University, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070618344","display_name":"Sudip Kumar Naskar","orcid":"https://orcid.org/0000-0003-1588-4665"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudip Kumar Naskar","raw_affiliation_strings":["Computer Science and Engineering, Jadavpur University, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Jadavpur University, India","institution_ids":["https://openalex.org/I170979836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5053425471"],"corresponding_institution_ids":["https://openalex.org/I170979836"],"apc_list":null,"apc_paid":null,"fwci":1.2908,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77883598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"583","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9983999729156494,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9527000188827515,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9431999921798706,"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/numeral-system","display_name":"Numeral system","score":0.9180488586425781},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.720490038394928},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6742312908172607},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5235992670059204},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.5048258900642395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4687265157699585},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4630826413631439},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42584770917892456},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.414528489112854},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.3680238723754883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3579067587852478},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.25221875309944153},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15626287460327148},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.13820284605026245}],"concepts":[{"id":"https://openalex.org/C204160518","wikidata":"https://www.wikidata.org/wiki/Q122653","display_name":"Numeral system","level":2,"score":0.9180488586425781},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.720490038394928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6742312908172607},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5235992670059204},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.5048258900642395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4687265157699585},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4630826413631439},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42584770917892456},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.414528489112854},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3680238723754883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3579067587852478},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.25221875309944153},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15626287460327148},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.13820284605026245},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3487553.3524635","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524635","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524635","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2202.00631","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2202.00631","pdf_url":"https://arxiv.org/pdf/2202.00631","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:RePEc:arx:papers:2202.00631","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"preprint"}],"best_oa_location":{"id":"doi:10.1145/3487553.3524635","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3487553.3524635","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3487553.3524635","source":{"id":"https://openalex.org/S4363608846","display_name":"Companion Proceedings of the Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the Web Conference 2022","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220810784.pdf","grobid_xml":"https://content.openalex.org/works/W4220810784.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W1930624869","https://openalex.org/W2295598076","https://openalex.org/W2768348081","https://openalex.org/W2781528640","https://openalex.org/W2963341956","https://openalex.org/W2965373594","https://openalex.org/W3093767665","https://openalex.org/W4256300792"],"related_works":["https://openalex.org/W2539042112","https://openalex.org/W587872652","https://openalex.org/W4234680390","https://openalex.org/W2378136823","https://openalex.org/W2376285871","https://openalex.org/W3202497208","https://openalex.org/W2389956414","https://openalex.org/W2379723120","https://openalex.org/W2025860571","https://openalex.org/W4313391810"],"abstract_inverted_index":{"While":[0],"making":[1],"investment":[2],"decisions":[3],"by":[4],"reading":[5],"financial":[6],"documents,":[7],"investors":[8],"need":[9],"to":[10,54,69],"differentiate":[11],"between":[12],"in-claim":[13,60],"and":[14,77],"out-of-claim":[15],"numerals.":[16],"In":[17],"this":[18,27,95],"paper,":[19],"we":[20],"present":[21],"a":[22,38,49,57,82],"tool":[23,96],"which":[24,97],"can":[25,98],"do":[26],"task":[28],"automatically.":[29],"It":[30],"extracts":[31],"context":[32],"embeddings":[33],"of":[34,86],"the":[35,65,89],"numerals":[36],"using":[37],"transformer":[39],"based":[40,52],"pre-trained":[41],"language":[42],"model":[43,53,80],"\u2013":[44],"BERT.":[45],"Subsequently,":[46],"it":[47],"uses":[48],"Logistic":[50],"Regression":[51],"detect":[55],"whether":[56],"numeral":[58],"is":[59],"or":[61],"out-of-claim.":[62],"We":[63,73,92],"use":[64],"FinNum-3":[66],"(English)":[67],"dataset":[68],"train":[70],"our":[71,78],"model.":[72],"conducted":[74],"rigorous":[75],"experiments":[76],"best":[79],"achieved":[81],"Macro":[83],"F1":[84],"score":[85],"0.8223":[87],"on":[88],"validation":[90],"set.":[91],"have":[93],"open-sourced":[94],"be":[99],"accessed":[100],"from":[101],"https://github.com/sohomghosh/FiNCAT_Financial_Numeral_Claim_Analysis_Tool":[102]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}