{"id":"https://openalex.org/W2945284729","doi":"https://doi.org/10.18653/v1/2019.gwc-1.14","title":"Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation","display_name":"Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2945284729","doi":"https://doi.org/10.18653/v1/2019.gwc-1.14","mag":"2945284729"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2019.gwc-1.14","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2019.gwc-1.14","pdf_url":"https://aclanthology.org/2019.gwc-1.14.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 10th Global Wordnet Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2019.gwc-1.14.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073731467","display_name":"Lo\u00efc Vial","orcid":"https://orcid.org/0000-0001-6572-5887"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210104430","display_name":"Laboratoire d'Informatique de Grenoble","ror":"https://ror.org/01c8rcg82","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210104430","https://openalex.org/I4210159245","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lo\u00efc Vial","raw_affiliation_strings":["Univ. Grenoble Alpes , CNRS , Grenoble INP , LIG , 38000 Grenoble , France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes , CNRS , Grenoble INP , LIG , 38000 Grenoble , France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210104430","https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Benjamin Lecouteux","orcid":null},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210104430","display_name":"Laboratoire d'Informatique de Grenoble","ror":"https://ror.org/01c8rcg82","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210104430","https://openalex.org/I4210159245","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Benjamin Lecouteux","raw_affiliation_strings":["Univ. Grenoble Alpes , CNRS , Grenoble INP , LIG , 38000 Grenoble , France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes , CNRS , Grenoble INP , LIG , 38000 Grenoble , France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210104430","https://openalex.org/I899635006"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013799481","display_name":"Didier Schwab","orcid":"https://orcid.org/0000-0002-2462-8148"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210104430","display_name":"Laboratoire d'Informatique de Grenoble","ror":"https://ror.org/01c8rcg82","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I4210104430","https://openalex.org/I4210159245","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Didier Schwab","raw_affiliation_strings":["Univ. Grenoble Alpes , CNRS , Grenoble INP , LIG , 38000 Grenoble , France","Universite Grenoble-Alpes"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes , CNRS , Grenoble INP , LIG , 38000 Grenoble , France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210104430","https://openalex.org/I899635006"]},{"raw_affiliation_string":"Universite Grenoble-Alpes","institution_ids":["https://openalex.org/I899635006"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4124,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86714489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9617000222206116,"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":0.9617000222206116,"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":0.018400000408291817,"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/T13629","display_name":"Text Readability and Simplification","score":0.0026000000070780516,"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/wordnet","display_name":"WordNet","score":0.9656403064727783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8492588400840759},{"id":"https://openalex.org/keywords/word-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.8226194381713867},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7362633943557739},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.6897290349006653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6488595008850098},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.648546576499939},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6318569779396057},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5182514190673828},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17371487617492676}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.9656403064727783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8492588400840759},{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.8226194381713867},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7362633943557739},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.6897290349006653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6488595008850098},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.648546576499939},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6318569779396057},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5182514190673828},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17371487617492676},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/2019.gwc-1.14","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2019.gwc-1.14","pdf_url":"https://aclanthology.org/2019.gwc-1.14.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 10th Global Wordnet Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.05677","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.05677","pdf_url":"https://arxiv.org/pdf/1905.05677","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:HAL:hal-02131872v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02131872","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"Global Wordnet Conference, 2019, Wroclaw, Poland","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1905.05677","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.05677","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2019.gwc-1.14","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2019.gwc-1.14","pdf_url":"https://aclanthology.org/2019.gwc-1.14.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 10th Global Wordnet Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2945284729.pdf","grobid_xml":"https://content.openalex.org/works/W2945284729.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W135437175","https://openalex.org/W1579321212","https://openalex.org/W2031026221","https://openalex.org/W2051390224","https://openalex.org/W2065157922","https://openalex.org/W2081580037","https://openalex.org/W2084708974","https://openalex.org/W2101293500","https://openalex.org/W2127289991","https://openalex.org/W2131540451","https://openalex.org/W2250369422","https://openalex.org/W2250539671","https://openalex.org/W2251529656","https://openalex.org/W2438439141","https://openalex.org/W2518202280","https://openalex.org/W2550186622","https://openalex.org/W2626778328","https://openalex.org/W2740782137","https://openalex.org/W2757205734","https://openalex.org/W2757601816","https://openalex.org/W2791272817","https://openalex.org/W2813700965","https://openalex.org/W2891031945","https://openalex.org/W2896457183","https://openalex.org/W2962739339","https://openalex.org/W2963956638","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W3158775312","https://openalex.org/W2899220776","https://openalex.org/W3038005645","https://openalex.org/W3135222780","https://openalex.org/W252296781","https://openalex.org/W103065337","https://openalex.org/W2251537235","https://openalex.org/W3135211941","https://openalex.org/W2963956638","https://openalex.org/W2007078032","https://openalex.org/W2414313626","https://openalex.org/W2521664475","https://openalex.org/W2318165092","https://openalex.org/W2135824681","https://openalex.org/W2504010411","https://openalex.org/W2062246499","https://openalex.org/W2277487411","https://openalex.org/W3158438157","https://openalex.org/W2990890447","https://openalex.org/W1576084169"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,100],"tackle":[4],"the":[5,8,17,25,40,49,64,74,81,120,123],"issue":[6],"of":[7,11,19,43,51,63,76,83,122],"limited":[9],"quantity":[10],"manually":[12],"sense":[13,21,41,53],"annotated":[14],"corpora":[15],"for":[16],"task":[18],"word":[20,110],"disambiguation,":[22],"by":[23],"exploiting":[24],"semantic":[26],"relationships":[27],"between":[28],"senses":[29],"such":[30],"as":[31],"synonymy,":[32],"hypernymy":[33],"and":[34,46,91],"hyponymy,":[35],"in":[36,112],"order":[37,113],"to":[38,59,97,114],"compress":[39],"vocabulary":[42],"Princeton":[44],"WordNet,":[45],"thus":[47],"reduce":[48,73],"number":[50],"different":[52,69],"tags":[54],"that":[55,71,117],"must":[56],"be":[57],"observed":[58],"disambiguate":[60],"all":[61,126],"words":[62],"lexical":[65],"database.We":[66],"propose":[67],"two":[68],"methods":[70],"greatly":[72],"size":[75],"neural":[77],"WSD":[78,103,127],"models,":[79],"with":[80],"benefit":[82],"improving":[84],"their":[85,94],"coverage":[86],"without":[87,92],"additional":[88],"training":[89],"data,":[90],"impacting":[93],"precision.In":[95],"addition":[96],"our":[98],"methods,":[99],"present":[101],"a":[102],"system":[104],"which":[105],"relies":[106],"on":[107,125],"pre-trained":[108],"BERT":[109],"vectors":[111],"achieve":[115],"results":[116],"significantly":[118],"outperforms":[119],"state":[121],"art":[124],"evaluation":[128],"tasks.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2021-05-10T00:00:00"}