{"id":"https://openalex.org/W4406459940","doi":"https://doi.org/10.1109/bigdata62323.2024.10825555","title":"Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis","display_name":"Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459940","doi":"https://doi.org/10.1109/bigdata62323.2024.10825555"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5074574419","display_name":"Takehiro Takayanagi","orcid":"https://orcid.org/0009-0000-6467-8222"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takehiro Takayanagi","raw_affiliation_strings":["The University of Tokyo,School of Engineering,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,School of Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038802330","display_name":"Masahiro Suzuki","orcid":"https://orcid.org/0000-0001-8519-5617"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Suzuki","raw_affiliation_strings":["The University of Tokyo,School of Engineering,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,School of Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101610974","display_name":"Ryotaro Kobayashi","orcid":"https://orcid.org/0000-0001-5956-3455"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryotaro Kobayashi","raw_affiliation_strings":["The University of Tokyo,School of Engineering,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,School of Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028823648","display_name":"Hiroki Sakaji","orcid":"https://orcid.org/0000-0001-5030-625X"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Sakaji","raw_affiliation_strings":["Hokkaido University,Faculty of Information Science and Technology,Sapporo,Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University,Faculty of Information Science and Technology,Sapporo,Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044205949","display_name":"Kiyoshi Izumi","orcid":"https://orcid.org/0000-0003-0870-7310"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoshi Izumi","raw_affiliation_strings":["The University of Tokyo,School of Engineering,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,School of Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074574419"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":2.1849,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89923377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6651","last_page":"6660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6442978978157043},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4315069913864136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442978978157043},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4315069913864136}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W128638292","https://openalex.org/W1532008752","https://openalex.org/W2048968173","https://openalex.org/W2093647425","https://openalex.org/W2143891888","https://openalex.org/W2765887664","https://openalex.org/W2766325537","https://openalex.org/W2771976988","https://openalex.org/W2786674644","https://openalex.org/W2787000863","https://openalex.org/W2887428522","https://openalex.org/W2888594773","https://openalex.org/W2890484448","https://openalex.org/W2898795086","https://openalex.org/W2899575547","https://openalex.org/W2965373594","https://openalex.org/W2965536863","https://openalex.org/W2990138404","https://openalex.org/W3034385177","https://openalex.org/W3093972645","https://openalex.org/W3123829608","https://openalex.org/W3158986179","https://openalex.org/W3159086726","https://openalex.org/W4205807230","https://openalex.org/W4250561792","https://openalex.org/W4285306484","https://openalex.org/W4300485781","https://openalex.org/W4320855764","https://openalex.org/W4321649710","https://openalex.org/W4367628242","https://openalex.org/W4367692219","https://openalex.org/W4385701358","https://openalex.org/W4389519239","https://openalex.org/W4389520249","https://openalex.org/W4389523721","https://openalex.org/W4389523957","https://openalex.org/W4401042286","https://openalex.org/W4403784379","https://openalex.org/W6675557394","https://openalex.org/W6682891325","https://openalex.org/W6682976278","https://openalex.org/W6685683567","https://openalex.org/W6691410106","https://openalex.org/W6691452637","https://openalex.org/W6691816874","https://openalex.org/W6718053083","https://openalex.org/W6725310825","https://openalex.org/W6730820706","https://openalex.org/W6741431228","https://openalex.org/W6742182809","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6767182473","https://openalex.org/W6776656690","https://openalex.org/W6781715622","https://openalex.org/W6788899452","https://openalex.org/W6788956883","https://openalex.org/W6789044980","https://openalex.org/W6794653389","https://openalex.org/W6794800773","https://openalex.org/W6795224213","https://openalex.org/W6796050359","https://openalex.org/W6796159650","https://openalex.org/W6800363268","https://openalex.org/W6800875267","https://openalex.org/W6803557570","https://openalex.org/W6810053386","https://openalex.org/W6810440442","https://openalex.org/W6810738896","https://openalex.org/W6848489262","https://openalex.org/W6850202480","https://openalex.org/W6850245742","https://openalex.org/W6852054110","https://openalex.org/W6853308253","https://openalex.org/W6873721421","https://openalex.org/W7019418713"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Causality":[0],"is":[1,25],"fundamental":[2],"in":[3,10,35,90,165,199],"human":[4],"cognition":[5],"and":[6,27,63,78,87,173,186,197],"has":[7],"drawn":[8],"attention":[9],"diverse":[11],"research":[12,196],"fields.":[13],"With":[14],"growing":[15],"volumes":[16],"of":[17,44,119,151,163],"textual":[18],"data,":[19,121],"discerning":[20],"causalities":[21],"within":[22],"text":[23,29,47,95],"data":[24],"crucial,":[26],"causal":[28,46,94,140],"mining":[30,48],"plays":[31],"a":[32,53,105,116],"pivotal":[33],"role":[34],"extracting":[36],"meaningful":[37],"patterns.":[38],"This":[39],"study":[40],"conducts":[41],"comprehensive":[42],"evaluations":[43],"ChatGPT\u2019s":[45,126],"capabilities.":[49],"Firstly,":[50],"we":[51,159],"introduce":[52],"benchmark":[54],"that":[55,101],"extends":[56],"beyond":[57],"general":[58],"English":[59],"datasets,":[60],"including":[61,170],"domain-specific":[62],"non-English":[64],"datasets.":[65,111],"We":[66,189],"also":[67,178],"provide":[68],"an":[69],"evaluation":[70],"framework":[71],"to":[72,134,193],"ensure":[73],"fair":[74],"comparisons":[75],"between":[76],"ChatGPT":[77,92,102,129,164],"previous":[79,122],"approaches.":[80],"Finally,":[81],"our":[82,98,191],"analysis":[83,99],"outlines":[84],"the":[85,132,152,161],"limitations":[86],"future":[88],"challenges":[89,180],"employing":[91],"for":[93,109],"mining.":[96],"Specifically,":[97],"reveals":[100],"serves":[103],"as":[104,139,155],"good":[106],"starting":[107],"point":[108],"various":[110],"However,":[112],"when":[113],"equipped":[114],"with":[115,148,181],"sufficient":[117],"amount":[118],"training":[120],"models":[123],"still":[124],"surpass":[125],"performance.":[127],"Additionally,":[128],"suffers":[130],"from":[131],"tendency":[133],"falsely":[135],"recognize":[136],"non-causal":[137],"sequences":[138],"sequences.":[141],"These":[142],"issues":[143],"become":[144],"even":[145],"more":[146],"pronounced":[147],"advanced":[149],"versions":[150],"model,":[153],"such":[154],"GPT-4.":[156],"In":[157],"addition,":[158],"highlight":[160],"constraints":[162],"handling":[166],"complex":[167],"causality":[168],"types,":[169],"both":[171],"intra/inter-sentential":[172],"implicit":[174],"causality.":[175],"The":[176],"model":[177],"faces":[179],"effectively":[182],"leveraging":[183],"in-context":[184],"learning":[185],"domain":[187],"adaptation.":[188],"release":[190],"code":[192],"support":[194],"further":[195],"development":[198],"this":[200],"field.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
