{"id":"https://openalex.org/W2620558438","doi":"https://doi.org/10.1162/tacl_a_00063","title":"Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints","display_name":"Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2620558438","doi":"https://doi.org/10.1162/tacl_a_00063","mag":"2620558438"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00063","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00063","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00063","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00063","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087009911","display_name":"Nikola Mrk\u0161i\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nikola Mrk\u0161i\u0107","raw_affiliation_strings":["Apple Inc","University of Cambridge"],"affiliations":[{"raw_affiliation_string":"Apple Inc","institution_ids":[]},{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014866912","display_name":"Ivan Vuli\u0107","orcid":"https://orcid.org/0000-0002-5161-5422"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ivan Vuli\u0107","raw_affiliation_strings":["University of Cambridge"],"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087884109","display_name":"Diarmuid \u00d3 S\u00e9aghdha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diarmuid \u00d3 S\u00e9aghdha","raw_affiliation_strings":["Apple Inc"],"affiliations":[{"raw_affiliation_string":"Apple Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082658100","display_name":"Ira Leviant","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ira Leviant","raw_affiliation_strings":["Technion, IIT"],"affiliations":[{"raw_affiliation_string":"Technion, IIT","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054952724","display_name":"Roi Reichart","orcid":"https://orcid.org/0000-0001-6918-0554"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Roi Reichart","raw_affiliation_strings":["Technion, IIT"],"affiliations":[{"raw_affiliation_string":"Technion, IIT","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051889115","display_name":"Milica Ga\u0161i\u0107","orcid":"https://orcid.org/0000-0003-0318-9147"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Milica Ga\u0161i\u0107","raw_affiliation_strings":["University of Cambridge"],"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081393566","display_name":"Anna Korhonen","orcid":"https://orcid.org/0000-0002-3692-3144"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anna Korhonen","raw_affiliation_strings":["University of Cambridge"],"affiliations":[{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109097977","display_name":"Steve Young","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steve Young","raw_affiliation_strings":["Apple Inc","University of Cambridge"],"affiliations":[{"raw_affiliation_string":"Apple Inc","institution_ids":[]},{"raw_affiliation_string":"University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5087009911"],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":21.2576,"has_fulltext":true,"cited_by_count":175,"citation_normalized_percentile":{"value":0.99501669,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"5","issue":null,"first_page":"309","last_page":"324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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/T12031","display_name":"Speech and dialogue systems","score":0.9998999834060669,"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":0.9997000098228455,"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/computer-science","display_name":"Computer science","score":0.8812960386276245},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6481392979621887},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.606016993522644},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6018465757369995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5724438428878784},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5607589483261108},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.5387400984764099},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5076135396957397},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5054805278778076},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4668353796005249},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.43863606452941895},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09567412734031677},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07810893654823303},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07203599810600281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07007533311843872}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8812960386276245},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6481392979621887},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.606016993522644},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6018465757369995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5724438428878784},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5607589483261108},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.5387400984764099},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5076135396957397},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5054805278778076},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4668353796005249},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.43863606452941895},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09567412734031677},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07810893654823303},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07203599810600281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07007533311843872},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/tacl_a_00063","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00063","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00063","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e1fa6e0fdee347658ba7d009ea21079e","is_oa":true,"landing_page_url":"https://doaj.org/article/e1fa6e0fdee347658ba7d009ea21079e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 5 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00063","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00063","pdf_url":"http://www.mitpressjournals.org/doi/pdf/10.1162/tacl_a_00063","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2620558438.pdf","grobid_xml":"https://content.openalex.org/works/W2620558438.grobid-xml"},"referenced_works_count":85,"referenced_works":["https://openalex.org/W22168010","https://openalex.org/W342285082","https://openalex.org/W355000591","https://openalex.org/W748958260","https://openalex.org/W1241017059","https://openalex.org/W1503259811","https://openalex.org/W1533861849","https://openalex.org/W1577202350","https://openalex.org/W1814992895","https://openalex.org/W1828724394","https://openalex.org/W1854884267","https://openalex.org/W1888026739","https://openalex.org/W1975244201","https://openalex.org/W2033646521","https://openalex.org/W2053921957","https://openalex.org/W2055537935","https://openalex.org/W2056561350","https://openalex.org/W2068297964","https://openalex.org/W2081580037","https://openalex.org/W2101251342","https://openalex.org/W2112184938","https://openalex.org/W2115792525","https://openalex.org/W2116671632","https://openalex.org/W2118090838","https://openalex.org/W2120699290","https://openalex.org/W2125076245","https://openalex.org/W2126725946","https://openalex.org/W2130199334","https://openalex.org/W2130237711","https://openalex.org/W2133280805","https://openalex.org/W2142074148","https://openalex.org/W2146502635","https://openalex.org/W2152799930","https://openalex.org/W2153579005","https://openalex.org/W2158139315","https://openalex.org/W2158199200","https://openalex.org/W2158899491","https://openalex.org/W2163922914","https://openalex.org/W2183945364","https://openalex.org/W2229725139","https://openalex.org/W2250214110","https://openalex.org/W2250297846","https://openalex.org/W2250414191","https://openalex.org/W2250539671","https://openalex.org/W2250646737","https://openalex.org/W2250683455","https://openalex.org/W2250741688","https://openalex.org/W2250861254","https://openalex.org/W2250928075","https://openalex.org/W2250930514","https://openalex.org/W2251033195","https://openalex.org/W2251044566","https://openalex.org/W2251058040","https://openalex.org/W2251507550","https://openalex.org/W2251682575","https://openalex.org/W2251765408","https://openalex.org/W2251771443","https://openalex.org/W2251780596","https://openalex.org/W2251804196","https://openalex.org/W2251874715","https://openalex.org/W2251939518","https://openalex.org/W2260194779","https://openalex.org/W2294542797","https://openalex.org/W2294979170","https://openalex.org/W2298037295","https://openalex.org/W2463895987","https://openalex.org/W2508069829","https://openalex.org/W2508412229","https://openalex.org/W2511498338","https://openalex.org/W2522720655","https://openalex.org/W2962795068","https://openalex.org/W2962958286","https://openalex.org/W2963002901","https://openalex.org/W2963061446","https://openalex.org/W2963349387","https://openalex.org/W2963366649","https://openalex.org/W2963606136","https://openalex.org/W2963788376","https://openalex.org/W2963797754","https://openalex.org/W2963850759","https://openalex.org/W2964084097","https://openalex.org/W2964101860","https://openalex.org/W2964222437","https://openalex.org/W2964232431","https://openalex.org/W3216404684"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W2032548952","https://openalex.org/W2044769131","https://openalex.org/W2226024386","https://openalex.org/W2359293891","https://openalex.org/W2380654781","https://openalex.org/W2114797768","https://openalex.org/W2516873349","https://openalex.org/W2176214140","https://openalex.org/W4312264180"],"abstract_inverted_index":{"We":[0,86],"present":[1],"Attract-Repel,":[2],"an":[3],"algorithm":[4,116],"for":[5,55],"improving":[6],"the":[7,22,41,95,118],"semantic":[8,62,80],"quality":[9],"of":[10,24,46,58,71,98,120],"word":[11],"vectors":[12,91],"by":[13,114],"injecting":[14],"constraints":[15,25],"extracted":[16],"from":[17,26,64],"lexical":[18],"resources.":[19],"Attract-Repel":[20],"facilitates":[21],"use":[23,45],"mono-":[27],"and":[28],"cross-lingual":[29,34,48,110],"resources,":[30],"yielding":[31],"semantically":[32],"specialized":[33],"vector":[35,53,111],"spaces.":[36],"Our":[37],"evaluation":[38],"shows":[39],"that":[40,89,109],"method":[42],"can":[43],"make":[44],"existing":[47],"lexicons":[49],"to":[50,66],"construct":[51],"high-quality":[52],"spaces":[54,112],"a":[56],"plethora":[57],"different":[59],"languages,":[60],"facilitating":[61],"transfer":[63],"high-":[65],"lower-resource":[67],"ones.":[68],"The":[69],"effectiveness":[70],"our":[72,115],"approach":[73],"is":[74],"demonstrated":[75],"with":[76],"state-of-the-art":[77],"results":[78],"on":[79],"similarity":[81],"datasets":[82],"in":[83,94],"six":[84],"languages.":[85,105],"next":[87],"show":[88,108],"Attract-Repel-specialized":[90],"boost":[92],"performance":[93,127],"downstream":[96],"task":[97],"dialogue":[99],"state":[100],"tracking":[101],"(DST)":[102],"across":[103],"multiple":[104],"Finally,":[106],"we":[107],"produced":[113],"facilitate":[117],"training":[119],"multilingual":[121],"DST":[122],"models,":[123],"which":[124],"brings":[125],"further":[126],"improvements.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":40},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
