{"id":"https://openalex.org/W2250382531","doi":"https://doi.org/10.18653/v1/d15-1002","title":"Distributional vectors encode referential attributes","display_name":"Distributional vectors encode referential attributes","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2250382531","doi":"https://doi.org/10.18653/v1/d15-1002","mag":"2250382531"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d15-1002","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d15-1002","pdf_url":"https://www.aclweb.org/anthology/D15-1002.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D15-1002.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021193664","display_name":"Abhijeet Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]},{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abhijeet Gupta","raw_affiliation_strings":["Institut fr Maschinelle Sprachverarbeitung Universitt Stuttgart","Institut f\u00fcr Maschinelle Sprachverarbeitung Universit\u00e4t Stuttgart"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut fr Maschinelle Sprachverarbeitung Universitt Stuttgart","institution_ids":["https://openalex.org/I4210088543"]},{"raw_affiliation_string":"Institut f\u00fcr Maschinelle Sprachverarbeitung Universit\u00e4t Stuttgart","institution_ids":["https://openalex.org/I4210088543","https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026675870","display_name":"Gemma Boleda","orcid":"https://orcid.org/0000-0001-6140-7080"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gemma Boleda","raw_affiliation_strings":["Center for Mind/Brain Sciences University of Trento"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Mind/Brain Sciences University of Trento","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038612405","display_name":"Marco Baroni","orcid":"https://orcid.org/0000-0001-5066-3580"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Baroni","raw_affiliation_strings":["Center for Mind/Brain Sciences University of Trento"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Mind/Brain Sciences University of Trento","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003870894","display_name":"Sebastian Pad\u00f3","orcid":"https://orcid.org/0000-0002-7529-6825"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]},{"id":"https://openalex.org/I4210088543","display_name":"Institut f\u00fcr Informationsverarbeitung","ror":"https://ror.org/0047j9t38","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210088543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Pad\u00f3","raw_affiliation_strings":["Institut f\u00fcr Maschinelle Sprachverarbeitung Universit\u00e4t Stuttgart"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Maschinelle Sprachverarbeitung Universit\u00e4t Stuttgart","institution_ids":["https://openalex.org/I4210088543","https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7698,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.95331865,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"12","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.9575999975204468,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"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/encode","display_name":"ENCODE","score":0.8809938430786133},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.8002495169639587},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6827751398086548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5952761173248291},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5546841025352478},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.5538948178291321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5265992879867554},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.48613831400871277},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4713183045387268},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4674450159072876},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4569116532802582},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32097429037094116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3129032850265503},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25730466842651367},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08639612793922424}],"concepts":[{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.8809938430786133},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8002495169639587},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6827751398086548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5952761173248291},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5546841025352478},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.5538948178291321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5265992879867554},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.48613831400871277},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4713183045387268},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4674450159072876},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4569116532802582},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32097429037094116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3129032850265503},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25730466842651367},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08639612793922424},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/d15-1002","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d15-1002","pdf_url":"https://www.aclweb.org/anthology/D15-1002.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:repositori.upf.edu:10230/32704","is_oa":false,"landing_page_url":"http://hdl.handle.net/10230/32704","pdf_url":null,"source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.unitn.it:11572/118845","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/118845","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/d15-1002","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d15-1002","pdf_url":"https://www.aclweb.org/anthology/D15-1002.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G168915159","display_name":"Linking Objects to Vectors in distributional semantics: A framework to anchor corpus-based meaning representations to the external world","funder_award_id":"655577","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2275620189","display_name":"Compositional Operations in Semantic Space","funder_award_id":"283554","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5801961956","display_name":null,"funder_award_id":"SFB 732","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2250382531.pdf","grobid_xml":"https://content.openalex.org/works/W2250382531.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W44862270","https://openalex.org/W843432513","https://openalex.org/W1532325895","https://openalex.org/W1597195725","https://openalex.org/W1662133657","https://openalex.org/W1878625794","https://openalex.org/W1967252265","https://openalex.org/W1995945562","https://openalex.org/W2005181355","https://openalex.org/W2054690340","https://openalex.org/W2107598941","https://openalex.org/W2108783283","https://openalex.org/W2111627455","https://openalex.org/W2115970844","https://openalex.org/W2123024445","https://openalex.org/W2124033848","https://openalex.org/W2127426251","https://openalex.org/W2128870637","https://openalex.org/W2131829566","https://openalex.org/W2141599568","https://openalex.org/W2150295085","https://openalex.org/W2152444902","https://openalex.org/W2168217710","https://openalex.org/W2250606819","https://openalex.org/W2251625530","https://openalex.org/W2252238675","https://openalex.org/W2286410738","https://openalex.org/W2506815398","https://openalex.org/W2950276680","https://openalex.org/W2951723246","https://openalex.org/W4213009331","https://openalex.org/W4297814433","https://openalex.org/W4310299640"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2988126442","https://openalex.org/W2913146933"],"abstract_inverted_index":{"Distributional":[0],"methods":[1],"have":[2],"proven":[3],"to":[4,17,20,27],"excel":[5],"at":[6],"capturing":[7],"fuzzy,":[8],"graded":[9],"aspects":[10],"of":[11,31,35,42],"meaning":[12],"(Italy":[13,51],"is":[14,25],"more":[15,32],"similar":[16],"Spain":[18],"than":[19],"Germany).":[21],"In":[22,56],"contrast,":[23],"it":[24],"difficult":[26],"extract":[28],"the":[29,43,61],"values":[30],"specific":[33],"attributes":[34,41],"word":[36],"referents":[37],"from":[38],"distributional":[39,64],"representations,":[40],"kind":[44],"typically":[45],"found":[46],"in":[47],"structured":[48],"knowledge":[49],"bases":[50],"has":[52],"60":[53],"million":[54],"inhabitants).":[55],"this":[57],"paper,":[58],"we":[59],"pursue":[60],"hypothesis":[62],"that":[63],"vectors":[65],"also":[66],"implicitly":[67],"encode":[68],"referential":[69],"attributes.":[70]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}
