{"id":"https://openalex.org/W2265402589","doi":"https://doi.org/10.18653/v1/s16-2023","title":"You and me... in a vector space: modelling individual speakers with distributional semantics","display_name":"You and me... in a vector space: modelling individual speakers with distributional semantics","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2265402589","doi":"https://doi.org/10.18653/v1/s16-2023","mag":"2265402589"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s16-2023","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-2023","pdf_url":"https://www.aclweb.org/anthology/S16-2023.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 Fifth Joint Conference on Lexical and Computational Semantics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S16-2023.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036912765","display_name":"Aur\u00e9lie Herbelot","orcid":"https://orcid.org/0000-0002-4353-5908"},"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":true,"raw_author_name":"Aur\u0117lie Herbelot","raw_affiliation_strings":["Centre for Mind/Brain Sciences University of Trento"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Mind/Brain Sciences University of Trento","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015110627","display_name":"Behrang QasemiZadeh","orcid":"https://orcid.org/0000-0001-5720-0845"},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Behrang QasemiZadeh","raw_affiliation_strings":["DFG Collaborative Research Centre 991 Heinrich-Heine-Universitt Dsseldorf","DFG Collaborative Research Centre 991 Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DFG Collaborative Research Centre 991 Heinrich-Heine-Universitt Dsseldorf","institution_ids":["https://openalex.org/I44260953"]},{"raw_affiliation_string":"DFG Collaborative Research Centre 991 Heinrich-Heine-Universit\u00e4t D\u00fcsseldorf","institution_ids":["https://openalex.org/I44260953"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036912765"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.00496647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9975000023841858,"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/distributional-semantics","display_name":"Distributional semantics","score":0.7801108956336975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7755237817764282},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.7712773680686951},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7311463356018066},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7271637320518494},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.72371506690979},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6327731609344482},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.6138477325439453},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.6070038080215454},{"id":"https://openalex.org/keywords/semantic-space","display_name":"Semantic space","score":0.5713030099868774},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5532245635986328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5502380132675171},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.45702263712882996},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36055636405944824},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3275185227394104},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.19443663954734802},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18034812808036804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09853741526603699}],"concepts":[{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.7801108956336975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7755237817764282},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7712773680686951},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7311463356018066},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7271637320518494},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.72371506690979},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6327731609344482},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.6138477325439453},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.6070038080215454},{"id":"https://openalex.org/C2986420190","wikidata":"https://www.wikidata.org/wiki/Q39045939","display_name":"Semantic space","level":2,"score":0.5713030099868774},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5532245635986328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5502380132675171},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.45702263712882996},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36055636405944824},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3275185227394104},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.19443663954734802},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18034812808036804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09853741526603699},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/s16-2023","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-2023","pdf_url":"https://www.aclweb.org/anthology/S16-2023.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 Fifth Joint Conference on Lexical and Computational Semantics","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/212245","is_oa":true,"landing_page_url":"https://www.aclweb.org/anthology/S16-2023/","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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:zenodo.org:54412","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/54412","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},{"id":"doi:10.5281/zenodo.54412","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.54412","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"article-journal"}],"best_oa_location":{"id":"doi:10.18653/v1/s16-2023","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s16-2023","pdf_url":"https://www.aclweb.org/anthology/S16-2023.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 Fifth Joint Conference on Lexical and Computational Semantics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2265402589.pdf","grobid_xml":"https://content.openalex.org/works/W2265402589.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W155596317","https://openalex.org/W565003248","https://openalex.org/W1532325895","https://openalex.org/W1557379068","https://openalex.org/W1597195725","https://openalex.org/W1614298861","https://openalex.org/W1662133657","https://openalex.org/W1958547877","https://openalex.org/W1981617416","https://openalex.org/W1983578042","https://openalex.org/W1984052055","https://openalex.org/W2009312480","https://openalex.org/W2040682892","https://openalex.org/W2043976122","https://openalex.org/W2072828027","https://openalex.org/W2075442675","https://openalex.org/W2125682643","https://openalex.org/W2131744502","https://openalex.org/W2137735870","https://openalex.org/W2144211451","https://openalex.org/W2147946282","https://openalex.org/W2155870214","https://openalex.org/W2168217710","https://openalex.org/W2200913422","https://openalex.org/W2250379126","https://openalex.org/W2250606819","https://openalex.org/W2251117789","https://openalex.org/W2251517092","https://openalex.org/W2251803266","https://openalex.org/W2251818205","https://openalex.org/W2251885125","https://openalex.org/W2473539527","https://openalex.org/W3031968991","https://openalex.org/W3127908038","https://openalex.org/W3151491250","https://openalex.org/W4213009331","https://openalex.org/W4250089123"],"related_works":["https://openalex.org/W2096728994","https://openalex.org/W2349139068","https://openalex.org/W1974406477","https://openalex.org/W3161401723","https://openalex.org/W1540114765","https://openalex.org/W105748137","https://openalex.org/W2391634343","https://openalex.org/W2222794291","https://openalex.org/W2362958218","https://openalex.org/W2112408611"],"abstract_inverted_index":{"The":[0],"linguistic":[1],"experiences":[2],"of":[3,10,48,51,63,93,98],"a":[4,26,122,127,133],"person":[5],"are":[6,67,84],"an":[7,105],"important":[8],"part":[9],"their":[11,30],"individuality.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16],"show":[17,79],"that":[18,40,74,80],"people":[19],"can":[20,43],"be":[21,44,113],"modelled":[22],"as":[23,46],"vectors":[24,42,73],"in":[25,101,121],"semantic":[27],"space,":[28],"using":[29,61],"personal":[31],"interaction":[32],"with":[33],"specific":[34],"language":[35,110],"data.":[36],"We":[37,55,78],"also":[38],"demonstrate":[39],"these":[41],"taken":[45],"representative":[47],"'the":[49],"kind":[50],"person'":[52],"they":[53,89],"are.":[54],"build":[56,71],"over":[57],"4000":[58],"speaker-dependent":[59],"subcorpora":[60],"logs":[62],"Wikipedia":[64],"edits,":[65],"which":[66],"then":[68],"used":[69],"to":[70,86],"distributional":[72],"represent":[75],"individual":[76],"speakers.":[77],"such":[81],"'person":[82],"vectors'":[83],"informative":[85],"others,":[87],"and":[88],"influence":[90],"basic":[91],"patterns":[92],"communication":[94],"like":[95],"the":[96,117],"choice":[97],"one's":[99],"interlocutor":[100],"conversation.":[102],"Tested":[103],"on":[104],"informationseeking":[106],"scenario,":[107],"where":[108],"natural":[109],"questions":[111],"must":[112],"answered":[114],"by":[115,132],"addressing":[116],"most":[118],"relevant":[119],"individuals":[120],"community,":[123],"our":[124],"system":[125],"outperforms":[126],"standard":[128],"information":[129],"retrieval":[130],"algorithm":[131],"considerable":[134],"margin.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
