{"id":"https://openalex.org/W7140605762","doi":"https://doi.org/10.48550/arxiv.2603.23627","title":"Ukrainian Visual Word Sense Disambiguation Benchmark","display_name":"Ukrainian Visual Word Sense Disambiguation Benchmark","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7140605762","doi":"https://doi.org/10.48550/arxiv.2603.23627"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.23627","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23627","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":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.2603.23627","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092831396","display_name":"Yurii Laba","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laba, Yurii","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126963676","display_name":"Yaryna Mohytych","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohytych, Yaryna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126964657","display_name":"Ivanna Rohulia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rohulia, Ivanna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126958674","display_name":"Halyna Kyryleyza","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kyryleyza, Halyna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126968014","display_name":"Hanna Dydyk-Meush","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dydyk-Meush, Hanna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130633847","display_name":"Oles Dobosevych","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dobosevych, Oles","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5073010879","display_name":"Rostyslav Hryniv","orcid":"https://orcid.org/0000-0003-0394-9791"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hryniv, Rostyslav","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8607000112533569,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.8607000112533569,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.05810000002384186,"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/T10799","display_name":"Data Visualization and Analytics","score":0.013399999588727951,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.8493000268936157},{"id":"https://openalex.org/keywords/ukrainian","display_name":"Ukrainian","score":0.754800021648407},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7264999747276306},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5730000138282776},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5694000124931335},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5490000247955322},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5392000079154968}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8493000268936157},{"id":"https://openalex.org/C21931767","wikidata":"https://www.wikidata.org/wiki/Q8798","display_name":"Ukrainian","level":2,"score":0.754800021648407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440999746322632},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7264999747276306},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6995999813079834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6402999758720398},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5730000138282776},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5694000124931335},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5392000079154968},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5038999915122986},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4715999960899353},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.4708999991416931},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.43799999356269836},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.3537999987602234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3077000081539154},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28209999203681946}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.23627","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23627","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.23627","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.23627","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7760167121887207,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,72],"study":[1],"presents":[2],"a":[3,35,40,51,82,140],"benchmark":[4,80,93],"for":[5,63,85,132],"evaluating":[6],"the":[7,20,30,64,78,92,123,133,145],"Visual":[8],"Word":[9],"Sense":[10],"Disambiguation":[11],"(Visual-WSD)":[12],"task":[13,22,66,147],"in":[14,67,144],"Ukrainian.":[15],"The":[16],"main":[17],"goal":[18],"of":[19,34,42],"Visual-WSD":[21,65,135,146],"is":[23],"to":[24,54,76],"identify,":[25],"with":[26,99],"minimal":[27],"contextual":[28],"information,":[29],"most":[31],"appropriate":[32],"representation":[33],"given":[36],"ambiguous":[37],"word":[38],"from":[39,101],"set":[41],"ten":[43],"images.":[44],"To":[45],"construct":[46],"this":[47,115],"benchmark,":[48],"we":[49],"followed":[50],"methodology":[52],"similar":[53],"that":[55],"proposed":[56],"by":[57,130],"(CITATION),":[58],"who":[59],"previously":[60],"introduced":[61],"benchmarks":[62],"English,":[68],"Italian,":[69],"and":[70,96,109,150],"Farsi.":[71],"approach":[73],"allows":[74],"us":[75],"incorporate":[77],"Ukrainian":[79,149],"into":[81],"broader":[83],"framework":[84],"cross-language":[86],"model":[87,127],"performance":[88,142],"comparisons.":[89],"We":[90,104],"collected":[91],"data":[94],"semi-automatically":[95],"refined":[97],"it":[98],"input":[100],"domain":[102],"experts.":[103],"then":[105],"assessed":[106],"eight":[107],"multilingual":[108],"multimodal":[110],"large":[111],"language":[112],"models":[113,119],"using":[114],"benchmark.":[116],"All":[117],"tested":[118],"performed":[120],"worse":[121],"than":[122],"zero-shot":[124],"CLIP-based":[125],"baseline":[126],"(CITATION)":[128,131],"used":[129],"English":[134],"task.":[136],"Our":[137],"analysis":[138],"revealed":[139],"significant":[141],"gap":[143],"between":[148],"English.":[151]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-27T00:00:00"}