{"id":"https://openalex.org/W2884156253","doi":"https://doi.org/10.18653/v1/w18-3018","title":"Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation","display_name":"Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2884156253","doi":"https://doi.org/10.18653/v1/w18-3018","mag":"2884156253"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w18-3018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-3018","pdf_url":null,"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 Third Workshop on Representation Learning for NLP","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/w18-3018","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014866912","display_name":"Ivan Vuli\u0107","orcid":"https://orcid.org/0000-0002-5161-5422"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ivan Vuli\u0107","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014866912"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3692,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91284478,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"137","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.797351598739624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.697301983833313},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6384809613227844},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6358901858329773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6179094314575195},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.596680760383606},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5878890156745911},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.5782565474510193},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5640482902526855},{"id":"https://openalex.org/keywords/distributional-semantics","display_name":"Distributional semantics","score":0.5237181782722473},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4861742854118347},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4703759551048279},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4114147424697876},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.275570809841156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23626473546028137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.07411655783653259},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.060875922441482544}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.797351598739624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697301983833313},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6384809613227844},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6358901858329773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6179094314575195},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.596680760383606},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5878890156745911},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.5782565474510193},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5640482902526855},{"id":"https://openalex.org/C2778828372","wikidata":"https://www.wikidata.org/wiki/Q5283209","display_name":"Distributional semantics","level":3,"score":0.5237181782722473},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4861742854118347},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4703759551048279},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4114147424697876},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.275570809841156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23626473546028137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.07411655783653259},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.060875922441482544},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/w18-3018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-3018","pdf_url":null,"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 Third Workshop on Representation Learning for NLP","raw_type":"proceedings-article"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/285921","is_oa":false,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/285921","pdf_url":null,"source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"},{"id":"doi:10.17863/cam.33248","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.33248","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/w18-3018","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w18-3018","pdf_url":null,"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 Third Workshop on Representation Learning for NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1241017059","https://openalex.org/W1503259811","https://openalex.org/W1579035156","https://openalex.org/W1662133657","https://openalex.org/W1814992895","https://openalex.org/W1854884267","https://openalex.org/W2017292107","https://openalex.org/W2017668967","https://openalex.org/W2052806359","https://openalex.org/W2053921957","https://openalex.org/W2101251342","https://openalex.org/W2112184938","https://openalex.org/W2146502635","https://openalex.org/W2149063929","https://openalex.org/W2150671924","https://openalex.org/W2153579005","https://openalex.org/W2250539671","https://openalex.org/W2250930514","https://openalex.org/W2251507550","https://openalex.org/W2251979305","https://openalex.org/W2251981022","https://openalex.org/W2294542797","https://openalex.org/W2294979170","https://openalex.org/W2493916176","https://openalex.org/W2522720655","https://openalex.org/W2584578456","https://openalex.org/W2620558438","https://openalex.org/W2882319491","https://openalex.org/W2963606136","https://openalex.org/W2963639153","https://openalex.org/W2963901637","https://openalex.org/W2963954871","https://openalex.org/W2964109726","https://openalex.org/W2964232431","https://openalex.org/W2964270525"],"related_works":["https://openalex.org/W1840682977","https://openalex.org/W4299488910","https://openalex.org/W4386468556","https://openalex.org/W2222794291","https://openalex.org/W59191841","https://openalex.org/W2963588142","https://openalex.org/W2502814102","https://openalex.org/W2112408611","https://openalex.org/W3202920633","https://openalex.org/W2415973339"],"abstract_inverted_index":{"Word":[0],"vector":[1,14],"space":[2],"specialisation":[3],"models":[4],"offer":[5],"a":[6,44,67],"portable,":[7],"light-weight":[8],"approach":[9],"to":[10,16,92],"fine-tuning":[11],"arbitrary":[12],"distributional":[13],"spaces":[15],"discern":[17],"between":[18,36],"synonymy":[19],"and":[20,53,90,97],"antonymy.":[21],"Their":[22],"effectiveness":[23],"is":[24,78],"drawn":[25],"from":[26,101],"external":[27,49],"linguistic":[28],"constraints":[29,50],"that":[30,43],"specify":[31],"the":[32,48,55],"exact":[33],"lexical":[34,76],"relation":[35],"words.":[37],"In":[38],"this":[39],"work,":[40],"we":[41,62],"show":[42],"careful":[45],"selection":[46],"of":[47,69],"can":[51],"steer":[52],"improve":[54],"specialisation.":[56],"By":[57],"simply":[58],"selecting":[59],"appropriate":[60],"constraints,":[61],"report":[63],"state-of-the-art":[64],"results":[65],"on":[66,88],"suite":[68],"tasks":[70],"with":[71,84],"well-defined":[72],"benchmarks":[73],"where":[74],"modeling":[75],"contrast":[77],"crucial:":[79],"1)":[80],"true":[81],"semantic":[82],"similarity,":[83],"highest":[85],"reported":[86],"scores":[87],"SimLex-999":[89],"SimVerb-3500":[91],"date;":[93],"2)":[94],"detecting":[95],"antonyms;":[96],"3)":[98],"distinguishing":[99],"antonyms":[100],"synonyms.":[102]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}