{"id":"https://openalex.org/W6892550583","doi":"https://doi.org/10.5281/zenodo.10654475","title":"Learning to quantify: LeQua 2024 datasets","display_name":"Learning to quantify: LeQua 2024 datasets","publication_year":2024,"publication_date":"2024-02-15","ids":{"openalex":"https://openalex.org/W6892550583","doi":"https://doi.org/10.5281/zenodo.10654475"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.10654475","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10654475","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.10654475","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Esuli, Andrea","orcid":"https://orcid.org/0000-0002-5725-4322"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Esuli, Andrea","raw_affiliation_strings":["Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\""],"affiliations":[{"raw_affiliation_string":"Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\"","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Moreo Fern\u00e1ndez, Alejandro","orcid":"https://orcid.org/0000-0002-0377-1025"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Moreo Fern\u00e1ndez, Alejandro","raw_affiliation_strings":["Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\""],"affiliations":[{"raw_affiliation_string":"Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\"","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sebastiani, Fabrizio","orcid":"https://orcid.org/0000-0003-4221-6427"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiani, Fabrizio","raw_affiliation_strings":["Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\""],"affiliations":[{"raw_affiliation_string":"Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\"","institution_ids":["https://openalex.org/I122991210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I122991210"],"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":0.7698000073432922},{"id":"https://openalex.org/keywords/european-union","display_name":"European union","score":0.5598999857902527},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5494999885559082},{"id":"https://openalex.org/keywords/european-commission","display_name":"European commission","score":0.5476999878883362},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5189999938011169},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4465000033378601}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7698000073432922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6197999715805054},{"id":"https://openalex.org/C2910001868","wikidata":"https://www.wikidata.org/wiki/Q458","display_name":"European union","level":2,"score":0.5598999857902527},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5494999885559082},{"id":"https://openalex.org/C3020782553","wikidata":"https://www.wikidata.org/wiki/Q8880","display_name":"European commission","level":3,"score":0.5476999878883362},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5189999938011169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5117999911308289},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3986000120639801},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.39800000190734863},{"id":"https://openalex.org/C2776034101","wikidata":"https://www.wikidata.org/wiki/Q1509347","display_name":"Commission","level":2,"score":0.3926999866962433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3831000030040741},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32089999318122864},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.27160000801086426},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.2703000009059906},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.10654475","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10654475","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.10654475","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10654475","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.43957000970840454}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Learning":[0,13],"to":[1,14,17,26,58,198,223,247,290,322],"Quantify":[2],"The":[3,135],"aim":[4],"of":[5,22,36,40,43,47,66,77,143,176,201,229,250,270],"LeQua":[6,81,202,251,291,323],"2024":[7,82],"(the":[8],"2nd":[9],"data":[10,152,183,235,278,311],"challenge":[11],"on":[12,151,219,267],"Quantify)":[15],"is":[16,83,161,196,208,245,257,288,300,320],"allow":[18],"the":[19,37,41,75,78,86,91,97,102,107,113,118,127,131,144,173,182,234,277,310],"comparative":[20],"evaluation":[21],"methods":[23,32],"for":[24,33,61],"\u201clearning":[25],"quantify\u201d":[27],"in":[28,45,307],"textual":[29,49],"datasets,":[30],"i.e.,":[31,167,215,263],"training":[34,79],"predictors":[35,52],"relative":[38,174],"frequencies":[39,71,175],"classes":[42],"interest":[44],"sets":[46],"unlabelled":[48],"documents.":[50],"These":[51],"(called":[53],"\u201cquantifiers\u201d)":[54],"will":[55],"be":[56],"required":[57],"issue":[59],"predictions":[60],"several":[62],"such":[63],"sets,":[64],"some":[65],"them":[67],"characterized":[68],"by":[69,85,90,101,106,117,126,187,239,282,315],"class":[70,178],"radically":[72],"different":[73],"from":[74],"ones":[76],"set.":[80],"supported":[84],"SoBigData++":[87],"project,":[88,104],"funded":[89,105,125],"European":[92,108,128,145],"Commission":[93,109],"(Grant":[94,110,122],"871042)":[95],"under":[96,112,130],"H2020":[98,114],"Programme":[99,115],"INFRAIA-2019-1;":[100],"AI4Media":[103],"951911)":[111],"ICT-48-2020;":[116],"FAIR":[119],"and":[120,153,179],"QuaDaSh":[121],"P2022TB5JF)":[123],"projects,":[124],"Union":[129],"NextGenerationEU":[132],"funding":[133],"scheme.":[134],"organizers\u2019":[136],"opinions":[137],"do":[138],"not":[139],"necessarily":[140],"reflect":[141],"those":[142],"Commission.":[146],"Challenge":[147],"website":[148],"https://lequa2024.github.io/":[149],"Info":[150],"formats":[154],"https://github.com/HLT-ISTI/LeQua2024_scripts":[155],"Tasks":[156],"Task":[157,199,204,248,253,293,296,308],"T1:":[158],"This":[159,194,206,243,255,286,318],"task":[160,195,207,244,256,287,299,319],"concerned":[162,209,258,301],"with":[163,210,259,302],"evaluating":[164,211,260,303],"binary":[165,304],"quantifiers,":[166,214,262],"quantifiers":[168,216,264],"that":[169,217,265],"must":[170],"only":[171],"predict":[172],"a":[177,227,268],"its":[180],"complement;":[181],"used":[184,236,279,312],"are":[185,237,280,313],"affected":[186,238,281,314],"prior":[188,240,283],"probability":[189,241,284],"shift":[190],"(a.k.a.":[191],"\u201clabel":[192],"shift\u201d).":[193],"akin":[197,246],"T1A":[200],"2022.":[203,252],"T2:":[205],"single-label":[212],"multi-class":[213],"operate":[218,266],"datapoints":[220],"each":[221],"belonging":[222],"exactly":[224],"one":[225],"among":[226],"set":[228,269],"n>2":[230,271],"classes;":[231,274],"here":[232,275],"too,":[233,276],"shift.":[242,285,317],"T1B":[249],"T3:":[254],"ordinal":[261],"totally":[272],"ordered":[273],"new":[289,321],"2024.":[292,324],"T4:":[294],"Like":[295],"T1,":[297,309],"this":[298],"quantifiers;":[305],"unlike":[306],"covariate":[316]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}