{"id":"https://openalex.org/W7130548684","doi":"https://doi.org/10.48550/arxiv.2602.16516","title":"Supercharging Agenda Setting Research: The ParlaCAP Dataset of 28 European Parliaments and a Scalable Multilingual LLM-Based Classification","display_name":"Supercharging Agenda Setting Research: The ParlaCAP Dataset of 28 European Parliaments and a Scalable Multilingual LLM-Based Classification","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130548684","doi":"https://doi.org/10.48550/arxiv.2602.16516"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.16516","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120368426","display_name":"Taja Kuzman Punger\u0161ek","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Punger\u0161ek, Taja Kuzman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126412871","display_name":"Peter Rupnik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rupnik, Peter","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005872138","display_name":"Daniela \u0160irini\u0107","orcid":"https://orcid.org/0000-0003-3189-7802"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u0160irini\u0107, Daniela","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126365195","display_name":"Nikola Ljube\u0161i\u0107","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ljube\u0161i\u0107, Nikola","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5120368426"],"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":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.7366999983787537,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.7366999983787537,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.13670000433921814,"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/T11397","display_name":"Populism, Right-Wing Movements","score":0.013100000098347664,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/federated-learning","display_name":"Federated learning","score":0.6395000219345093},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5705000162124634},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.559499979019165},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5060999989509583},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4959000051021576},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42879998683929443},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3871999979019165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7612000107765198},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.6395000219345093},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5705000162124634},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.559499979019165},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5060999989509583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4959999918937683},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4959000051021576},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4203000068664551},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.359499990940094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33899998664855957},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C82834280","wikidata":"https://www.wikidata.org/wiki/Q32492","display_name":"Comparative politics","level":3,"score":0.29100000858306885},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2574000060558319},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.25270000100135803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.16516","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.16516","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.16516","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.16516","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.6864572763442993,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"ParlaCAP,":[3],"a":[4,16,53,58,69,88],"large-scale":[5],"dataset":[6,131,167],"for":[7,19,78],"analyzing":[8],"parliamentary":[9,176,184],"agenda":[10],"setting":[11],"across":[12,158,178],"Europe,":[13],"and":[14,48,68,99,109,135,156,186],"proposes":[15],"cost-effective":[17],"method":[18],"building":[20],"domain-specific":[21],"policy":[22,179,190],"topic":[23],"classifiers.":[24],"Applying":[25],"the":[26,33,92,97,110,126,129,145,162,166,173],"Comparative":[27],"Agendas":[28],"Project":[29],"(CAP)":[30],"schema":[31],"to":[32,91,104,125],"multilingual":[34,70,147],"ParlaMint":[35],"corpus":[36],"of":[37,45,165,175],"over":[38],"8":[39],"million":[40],"speeches":[41],"from":[42,144],"28":[43],"parliaments":[44],"European":[46],"countries":[47],"autonomous":[49],"regions,":[50],"we":[51],"follow":[52],"teacher-student":[54],"framework":[55],"in":[56,183,189],"which":[57],"high-performing":[59],"large":[60],"language":[61],"model":[62,72,112],"(LLM)":[63],"annotates":[64],"in-domain":[65],"training":[66],"data":[67,80],"encoder":[71],"is":[73,102],"fine-tuned":[74],"on":[75,118,153],"these":[76],"annotations":[77],"scalable":[79],"annotation.":[81],"We":[82,160],"show":[83],"that":[84],"this":[85],"approach":[86],"produces":[87],"classifier":[89],"tailored":[90],"target":[93],"domain.":[94],"Agreement":[95],"between":[96],"LLM":[98],"human":[100],"annotators":[101],"comparable":[103],"inter-annotator":[105],"agreement":[106],"among":[107],"humans,":[108],"resulting":[111],"outperforms":[113],"existing":[114],"CAP":[115,127],"classifiers":[116],"trained":[117],"manually-annotated":[119],"but":[120],"out-of-domain":[121],"data.":[122],"In":[123],"addition":[124],"annotations,":[128],"ParlaCAP":[130],"offers":[132],"rich":[133],"speaker":[134],"party":[136],"metadata,":[137],"as":[138,140],"well":[139],"sentiment":[141,181],"predictions":[142],"coming":[143],"ParlaSent":[146],"transformer":[148],"model,":[149],"enabling":[150],"comparative":[151],"research":[152],"political":[154],"attention":[155,177],"representation":[157],"countries.":[159],"illustrate":[161],"analytical":[163],"potential":[164],"with":[168],"three":[169],"use":[170],"cases,":[171],"examining":[172],"distribution":[174],"topics,":[180],"patterns":[182],"speech,":[185],"gender":[187],"differences":[188],"attention.":[191]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-20T00:00:00"}
