{"id":"https://openalex.org/W6893180592","doi":"https://doi.org/10.5281/zenodo.14989177","title":"SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval","display_name":"SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval","publication_year":2025,"publication_date":"2025-03-07","ids":{"openalex":"https://openalex.org/W6893180592","doi":"https://doi.org/10.5281/zenodo.14989177"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.14989177","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14989177","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.14989177","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Peng, Qiwei","orcid":"https://orcid.org/0009-0007-9684-2489"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Peng, Qiwei","raw_affiliation_strings":["University of Copenhagen"],"raw_orcid":"https://orcid.org/0009-0007-9684-2489","affiliations":[{"raw_affiliation_string":"University of Copenhagen","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Moro, Robert","orcid":"https://orcid.org/0000-0002-3052-8290"},"institutions":[{"id":"https://openalex.org/I4401200340","display_name":"Kempelen Institute of Intelligent Technologies","ror":"https://ror.org/02j78kr76","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4401200340"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Moro, Robert","raw_affiliation_strings":["Kempelen Institute of Intelligent Technologies"],"raw_orcid":"https://orcid.org/0000-0002-3052-8290","affiliations":[{"raw_affiliation_string":"Kempelen Institute of Intelligent Technologies","institution_ids":["https://openalex.org/I4401200340"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gregor, Michal","orcid":"https://orcid.org/0000-0001-8332-6011"},"institutions":[{"id":"https://openalex.org/I4401200340","display_name":"Kempelen Institute of Intelligent Technologies","ror":"https://ror.org/02j78kr76","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4401200340"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Gregor, Michal","raw_affiliation_strings":["Kempelen Institute of Intelligent Technologies"],"raw_orcid":"https://orcid.org/0000-0001-8332-6011","affiliations":[{"raw_affiliation_string":"Kempelen Institute of Intelligent Technologies","institution_ids":["https://openalex.org/I4401200340"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Srba, Ivan","orcid":"https://orcid.org/0000-0003-3511-5337"},"institutions":[{"id":"https://openalex.org/I4401200340","display_name":"Kempelen Institute of Intelligent Technologies","ror":"https://ror.org/02j78kr76","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4401200340"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Srba, Ivan","raw_affiliation_strings":["Kempelen Institute of Intelligent Technologies"],"raw_orcid":"https://orcid.org/0000-0003-3511-5337","affiliations":[{"raw_affiliation_string":"Kempelen Institute of Intelligent Technologies","institution_ids":["https://openalex.org/I4401200340"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ostermann, Simon","orcid":"https://orcid.org/0000-0002-0899-0657"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ostermann, Simon","raw_affiliation_strings":["German Research Centre for Artificial Intelligence"],"raw_orcid":"https://orcid.org/0000-0002-0899-0657","affiliations":[{"raw_affiliation_string":"German Research Centre for Artificial Intelligence","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Simko, Marian","orcid":"https://orcid.org/0000-0002-2306-4408"},"institutions":[{"id":"https://openalex.org/I4401200340","display_name":"Kempelen Institute of Intelligent Technologies","ror":"https://ror.org/02j78kr76","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4401200340"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Simko, Marian","raw_affiliation_strings":["Kempelen Institute of Intelligent Technologies"],"raw_orcid":"https://orcid.org/0000-0002-2306-4408","affiliations":[{"raw_affiliation_string":"Kempelen Institute of Intelligent Technologies","institution_ids":["https://openalex.org/I4401200340"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Podrou\u017eek, Juraj","orcid":"https://orcid.org/0000-0002-9691-0310"},"institutions":[{"id":"https://openalex.org/I4401200340","display_name":"Kempelen Institute of Intelligent Technologies","ror":"https://ror.org/02j78kr76","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4401200340"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Podrou\u017eek, Juraj","raw_affiliation_strings":["Kempelen Institute of Intelligent Technologies"],"raw_orcid":"https://orcid.org/0000-0002-9691-0310","affiliations":[{"raw_affiliation_string":"Kempelen Institute of Intelligent Technologies","institution_ids":["https://openalex.org/I4401200340"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mesar\u010d\u00edk, Mat\u00fa\u0161","orcid":"https://orcid.org/0000-0003-3311-5333"},"institutions":[{"id":"https://openalex.org/I4401200340","display_name":"Kempelen Institute of Intelligent Technologies","ror":"https://ror.org/02j78kr76","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4401200340"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Mesar\u010d\u00edk, Mat\u00fa\u0161","raw_affiliation_strings":["Kempelen Institute of Intelligent Technologies"],"raw_orcid":"https://orcid.org/0000-0003-3311-5333","affiliations":[{"raw_affiliation_string":"Kempelen Institute of Intelligent Technologies","institution_ids":["https://openalex.org/I4401200340"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kop\u010dan, Jaroslav","orcid":null},"institutions":[{"id":"https://openalex.org/I4401200340","display_name":"Kempelen Institute of Intelligent Technologies","ror":"https://ror.org/02j78kr76","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4401200340"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Kop\u010dan, Jaroslav","raw_affiliation_strings":["Kempelen Institute of Intelligent Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kempelen Institute of Intelligent Technologies","institution_ids":["https://openalex.org/I4401200340"]}]},{"author_position":"last","author":{"id":null,"display_name":"S\u00f8gaard, Anders","orcid":"https://orcid.org/0000-0001-5250-4276"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"S\u00f8gaard, Anders","raw_affiliation_strings":["University of Copenhagen"],"raw_orcid":"https://orcid.org/0000-0001-5250-4276","affiliations":[{"raw_affiliation_string":"University of Copenhagen","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7182000279426575},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.7114999890327454},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5845000147819519},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5113000273704529},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.478300005197525},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.44369998574256897},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43639999628067017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8478999733924866},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7182000279426575},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7114999890327454},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5942999720573425},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5845000147819519},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5113000273704529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4934999942779541},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.478300005197525},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4641999900341034},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.44369998574256897},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4180999994277954},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C2776552730","wikidata":"https://www.wikidata.org/wiki/Q189656","display_name":"Disinformation","level":3,"score":0.34389999508857727},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.33730000257492065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31619998812675476},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.14989177","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14989177","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.14989177","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14989177","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7846147418022156,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3931493262","display_name":"Improving scientific excellence and creativity in combating disinformation with artificial intelligence and language technologies","funder_award_id":"101079164","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"SemEval-2025":[0,11],"Task":[1,306],"7":[2,14],"We":[3],"provide":[4,277],"here":[5],"the":[6,10,24,60,63,71,77,96,107,112,131,151,161,182,189,194,204,209,229,238,245,250,273,301,347,424],"dataset":[7,128,162,196,205,211,271,288],"used":[8],"in":[9,67,203,259,289,295,430],"shared":[12,97,246],"task":[13,38,98,247],"on":[15,181,208,351,427],"Multilingual":[16,308],"and":[17,51,62,137,153,175,185,199,276,309,316,319,322,325,328,331,334,337,340,383,386,389,392,395,398,401,404,407,414,417],"Crosslingual":[18,310],"Fact-Checked":[19,311,376],"Claim":[20,312,377],"Retrieval,":[21],"which":[22,224,234,256],"addressed":[23],"critical":[25],"challenge":[26],"of":[27,74,79,119,130,228,255,346,423],"efficiently":[28],"identifying":[29],"previously":[30,123],"fact-checked":[31],"claims":[32,115,120],"across":[33],"multiple":[34],"languages":[35,80],"\u2014":[36],"a":[37,48,117],"that":[39,81,121],"can":[40],"be":[41,66],"time-consuming":[42],"for":[43,168,264,368,446],"professional":[44],"fact-checkers":[45],"even":[46],"within":[47],"single":[49],"language":[50],"becomes":[52],"much":[53],"more":[54,179,242],"difficult":[55],"to":[56,85,88,110,149,159,187,193,279],"perform":[57],"manually":[58],"when":[59],"claim":[61],"fact-check":[64],"may":[65],"different":[68],"languages.":[69],"Given":[70,103],"global":[72],"spread":[73],"disinformation":[75],"narratives,":[76],"range":[78],"one":[82],"would":[83],"need":[84],"cover":[86],"not":[87,226],"miss":[89],"existing":[90],"fact-checks":[91],"is":[92,109,257],"vast.":[93],"More":[94],"specifically,":[95],"was":[99,262],"formulated":[100],"as":[101,156,158],"follows:":[102],"social":[104],"media":[105],"posts,":[106],"goal":[108],"retrieve":[111],"most":[113],"relevant":[114],"from":[116],"list":[118],"were":[122,235],"fact-checked.":[124],"Dataset":[125],"description":[126],"The":[127,197,218],"consists":[129],"following":[132,302],"files:":[133],"train_dev_set":[134],"containing":[135,143,164,178],"training":[136,198],"development":[138,200],"set":[139,145,166,220],"data":[140,146,183],"files":[141,147],"test_set":[142],"test":[144,165,219],"scripts":[148,191],"evaluate":[150],"monolingual":[152],"crosslingual":[154],"retrieval":[155],"well":[157],"load":[160],"baselines":[163],"predictions":[167],"4":[169],"models,":[170],"namely:":[171],"BM25,":[172],"GTR-T5-Large,":[173],"Paraphrase-Multilingual-MPNet-Base-v2,":[174],"Multilingual-E5":[176],"README.md":[177],"information":[180],"format":[184],"how":[186],"use":[188,286],"provided":[190],"Relation":[192],"MultiClaim":[195,210,231,252],"sets":[201],"contained":[202],"are":[206,225],"based":[207],"published":[212,263],"with":[213],"our":[214],"EMNLP":[215],"2023":[216,425],"paper.":[217,248],"contains":[221],"additional":[222],"data,":[223],"part":[227,254],"original":[230,251],"dataset,":[232,253,261],"but":[233],"collected":[236],"using":[237],"same":[239,274],"methodology.":[240],"For":[241],"details,":[243],"see":[244],"Since":[249],"included":[258],"this":[260,270,287],"research":[265],"purposes":[266],"only,":[267],"we":[268],"publish":[269],"under":[272],"terms":[275],"access":[278],"it":[280],"upon":[281],"request.":[282],"References":[283],"If":[284],"you":[285],"any":[290,296],"publication,":[291],"project,":[292],"tool":[293],"or":[294],"other":[297],"form,":[298],"please,":[299],"cite":[300],"papers:":[303],"@inproceedings{semeval2025task7,":[304],"title=\u201d{S}em{E}val-2025":[305],"7:":[307],"Retrieval\u201d,":[313],"author=\u201dPeng,":[314],"Qiwei":[315],"Moro,":[317,387],"Robert":[318,388],"Gregor,":[320],"Michal":[321],"Srba,":[323,384],"Ivan":[324,385,400],"Ostermann,":[326],"Simon":[327],"Simko,":[329,402],"Marian":[330],"Podrou\u017eek,":[332],"Juraj":[333,406],"Mesar\u010d\u00edk,":[335],"Mat\u00fa\u0161":[336],"Kop\u010dan,":[338],"Jaroslav":[339],"S\u00f8gaard,":[341],"Anders\u201d,":[342],"booktitle":[343,420],"=":[344,356,359,363,366,373,380,411,421,435,438,441,444,450,453,456],"\u201cProceedings":[345],"19th":[348],"International":[349],"Workshop":[350],"Semantic":[352],"Evaluation":[353],"(SemEval-2025)\u201d,":[354],"year":[355,437],"{2025},":[357],"address":[358,440],"{Vienna,":[360],"Austria},":[361],"month":[362,434],"{July},":[364],"publisher":[365,443],"\"Association":[367,445],"Computational":[369,447],"Linguistics\",}":[370],"@inproceedings{pikuliak-etal-2023-multilingual,":[371],"title":[372],"\"Multilingual":[374],"Previously":[375],"Retrieval\",":[378],"author":[379],"\"Pikuliak,":[381],"Mat{\\'u}{\\v{s}}":[382],"Hromadka,":[390],"Timo":[391],"Smole{\\v{n}},":[393],"Timotej":[394],"Meli{\\v{s}}ek,":[396],"Martin":[397],"Vykopal,":[399],"Jakub":[403],"Podrou{\\v{z}}ek,":[405],"Bielikova,":[408],"Maria\",":[409],"editor":[410],"\"Bouamor,":[412],"Houda":[413],"Pino,":[415],"Juan":[416],"Bali,":[418],"Kalika\",":[419],"\"Proceedings":[422],"Conference":[426],"Empirical":[428],"Methods":[429],"Natural":[431],"Language":[432],"Processing\",":[433],"dec,":[436],"\"2023\",":[439],"\"Singapore\",":[442],"Linguistics\",":[448],"url":[449],"\"https://aclanthology.org/2023.emnlp-main.1027\",":[451],"doi":[452],"\"10.18653/v1/2023.emnlp-main.1027\",":[454],"pages":[455],"\"16477--16500\",":[457],"}":[458]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}