{"id":"https://openalex.org/W6963224705","doi":"https://doi.org/10.21227/25m4-h372","title":"SynEL: A Synthetic Benchmark for Entity Linking","display_name":"SynEL: A Synthetic Benchmark for Entity Linking","publication_year":2024,"publication_date":"2024-11-14","ids":{"openalex":"https://openalex.org/W6963224705","doi":"https://doi.org/10.21227/25m4-h372"},"language":"en","primary_location":{"id":"doi:10.21227/25m4-h372","is_oa":true,"landing_page_url":"https://doi.org/10.21227/25m4-h372","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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":"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/10.21227/25m4-h372","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Karpov, Ilia","orcid":null},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Karpov, Ilia","raw_affiliation_strings":["HSE University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HSE University","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kirillovich, Alexander","orcid":null},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Kirillovich, Alexander","raw_affiliation_strings":["HSE University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HSE University","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Goncharova, Elisaveta","orcid":null},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Goncharova, Elisaveta","raw_affiliation_strings":["HSE University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HSE University","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Parinov, Andrey","orcid":null},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Parinov, Andrey","raw_affiliation_strings":["HSE University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HSE University","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chernyavskiy, Alexander","orcid":null},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Chernyavskiy, Alexander","raw_affiliation_strings":["HSE University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HSE University","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ilvovsky, Dmitry","orcid":null},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ilvovsky, Dmitry","raw_affiliation_strings":["HSE University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HSE University","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Semenova, Natalia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Semenova, Natalia","raw_affiliation_strings":["AIRI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIRI","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sosedka, Artyom","orcid":null},"institutions":[{"id":"https://openalex.org/I312958679","display_name":"National University of Science and Technology","ror":"https://ror.org/02kesvt12","country_code":"ZW","type":"education","lineage":["https://openalex.org/I312958679"]}],"countries":["ZW"],"is_corresponding":false,"raw_author_name":"Sosedka, Artyom","raw_affiliation_strings":["NUST MISiS\t"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NUST MISiS\t","institution_ids":["https://openalex.org/I312958679"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lisitsyna, Ekaterina","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lisitsyna, Ekaterina","raw_affiliation_strings":["Independent Researcher"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Belkin, Belkin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Belkin, Belkin","raw_affiliation_strings":["Independent Researcher"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6834999918937683},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.566100001335144},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.44940000772476196},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.40849998593330383},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.3772999942302704},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.37310001254081726},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36910000443458557},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.32580000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.794700026512146},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6834999918937683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.576200008392334},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.566100001335144},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.44940000772476196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44909998774528503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42809998989105225},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3894999921321869},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.3772999942302704},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.2775999903678894},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/25m4-h372","is_oa":true,"landing_page_url":"https://doi.org/10.21227/25m4-h372","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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":"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:10.21227/25m4-h372","is_oa":true,"landing_page_url":"https://doi.org/10.21227/25m4-h372","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","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":"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":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.40989261865615845}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Dataset":[0],"for":[1,19,48],"\"SynEL:":[2],"A":[3],"Synthetic":[4],"Benchmark":[5],"for Entity":[6],"Linking\"":[7],"paper.":[8],"The":[9,54],"dataset":[10,37,55,88],"integrates":[11],"structured":[12,42],"information":[13],"from":[14],"two":[15],"primary":[16],"sources:":[17],"DBpedia":[18],"English,":[20],"representing":[21],"a":[22,32],"high-resource":[23],"language":[24,69],"environment,":[25],"and":[26,41,59,67,96,105],"the":[27,57],"Russian":[28],"Public":[29],"Company":[30],"Register,":[31],"challenging":[33],"low-resource":[34],"dataset.":[35],"Each":[36],"includes":[38],"extensive":[39],"annotations":[40],"entity":[43,93],"links,":[44],"ensuring":[45],"high":[46],"relevance":[47],"real-world":[49],"applications":[50],"in":[51,92,99],"diverse":[52],"industries.":[53],"facilitates":[56],"training":[58],"evaluation":[60],"of":[61],"advanced":[62],"graph":[63],"neural":[64],"network":[65],"(GNN)":[66],"large":[68],"model":[70],"(LLM)":[71],"techniques,":[72],"enabling":[73],"robust":[74],"performance":[75],"across":[76],"varied":[77],"linguistic":[78],"contexts.":[79],"Experimental":[80],"results":[81],"indicate":[82],"that":[83],"models":[84],"trained":[85],"on":[86],"this":[87],"achieve":[89],"significant":[90],"gains":[91],"linking":[94],"precision":[95],"recall,":[97],"especially":[98],"specialized":[100],"domains":[101],"such":[102],"as":[103],"finance":[104],"regulatory":[106],"compliance. ":[107]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}