{"id":"https://openalex.org/W7106147153","doi":"https://doi.org/10.48550/arxiv.2511.14566","title":"Examining the Metrics for Document-Level Claim Extraction in Czech and Slovak","display_name":"Examining the Metrics for Document-Level Claim Extraction in Czech and Slovak","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7106147153","doi":"https://doi.org/10.48550/arxiv.2511.14566"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2511.14566","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.14566","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2511.14566","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Makaiov\u00e1, Lucia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Makaiov\u00e1, Lucia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Faj\u010d\u00edk, Martin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faj\u010d\u00edk, Martin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Jarol\u00edm, Anton\u00edn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jarol\u00edm, Anton\u00edn","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.36160001158714294,"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":0.36160001158714294,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.23109999299049377,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.10249999910593033,"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/czech","display_name":"Czech","score":0.8741000294685364},{"id":"https://openalex.org/keywords/slovak","display_name":"Slovak","score":0.7021999955177307},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6704000234603882},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5982000231742859},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5199000239372253},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5188000202178955},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.3637999892234802}],"concepts":[{"id":"https://openalex.org/C2777842544","wikidata":"https://www.wikidata.org/wiki/Q9056","display_name":"Czech","level":2,"score":0.8741000294685364},{"id":"https://openalex.org/C2780102689","wikidata":"https://www.wikidata.org/wiki/Q9058","display_name":"Slovak","level":3,"score":0.7021999955177307},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6704000234603882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6456999778747559},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5982000231742859},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5199000239372253},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5188000202178955},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44749999046325684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38449999690055847},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35019999742507935},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3433000147342682},{"id":"https://openalex.org/C2780366209","wikidata":"https://www.wikidata.org/wiki/Q5170200","display_name":"Core model","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2615000009536743}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2511.14566","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.14566","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2511.14566","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.14566","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Document-level":[0],"claim":[1,62,81,153,172],"extraction":[2,90,154],"remains":[3],"an":[4,46],"open":[5],"challenge":[6],"in":[7],"the":[8,37,54,65,89,125,143,157],"field":[9],"of":[10,33,67,92,100,133,145],"fact-checking,":[11],"and":[12,41,58,79,94,115,131,155,169,178],"subsequently,":[13],"methods":[14],"for":[15,87,159],"evaluating":[16],"extracted":[17,110],"claims":[18,34],"have":[19],"received":[20],"limited":[21],"attention.":[22],"In":[23],"this":[24],"work,":[25],"we":[26],"explore":[27],"approaches":[28,148],"to":[29,36,52,124,142,151,164],"aligning":[30],"two":[31],"sets":[32],"pertaining":[35],"same":[38],"source":[39],"document":[40],"computing":[42],"their":[43],"similarity":[44,168],"through":[45],"alignment":[47,57],"score.":[48],"We":[49,103],"investigate":[50],"techniques":[51],"identify":[53],"best":[55],"possible":[56,98],"evaluation":[59,71,147],"method":[60],"between":[61,77],"sets,":[63,82],"with":[64],"aim":[66],"providing":[68],"a":[69,85,97],"reliable":[70],"framework.":[72],"Our":[73],"approach":[74],"enables":[75],"comparison":[76],"model-extracted":[78],"human-annotated":[80],"serving":[83],"as":[84,96,175],"metric":[86],"assessing":[88],"performance":[91],"models":[93],"also":[95],"measure":[99],"inter-annotator":[101],"agreement.":[102],"conduct":[104],"experiments":[105],"on":[106],"newly":[107],"collected":[108],"dataset-claims":[109],"from":[111],"comments":[112],"under":[113],"Czech":[114],"Slovak":[116],"news":[117],"articles-domains":[118],"that":[119],"pose":[120],"additional":[121],"challenges":[122],"due":[123],"informal":[126],"language,":[127],"strong":[128],"local":[129],"context,":[130],"subtleties":[132],"these":[134],"closely":[135],"related":[136],"languages.":[137],"The":[138],"results":[139],"draw":[140],"attention":[141],"limitations":[144],"current":[146],"when":[149],"applied":[150],"document-level":[152],"highlight":[156],"need":[158],"more":[160],"advanced":[161],"methods-ones":[162],"able":[163],"correctly":[165],"capture":[166],"semantic":[167],"evaluate":[170],"essential":[171],"properties":[173],"such":[174],"atomicity,":[176],"checkworthiness,":[177],"decontextualization.":[179]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-11-20T00:00:00"}