{"id":"https://openalex.org/W3158960148","doi":"https://doi.org/10.18653/v1/2019.gwc-1.20","title":"Visualising WordNet Embeddings: some preliminary results","display_name":"Visualising WordNet Embeddings: some preliminary results","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W3158960148","doi":"https://doi.org/10.18653/v1/2019.gwc-1.20","mag":"3158960148"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2019.gwc-1.20","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2019.gwc-1.20","pdf_url":"https://aclanthology.org/2019.gwc-1.20.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":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2019.gwc-1.20.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089398772","display_name":"Csaba Veres","orcid":"https://orcid.org/0000-0003-3907-8473"},"institutions":[{"id":"https://openalex.org/I4432739","display_name":"University of Bergen","ror":"https://ror.org/03zga2b32","country_code":"NO","type":"education","lineage":["https://openalex.org/I4432739"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Csaba Veres","raw_affiliation_strings":["Department of Information Science and Media Studies The University of Bergen , Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science and Media Studies The University of Bergen , Norway","institution_ids":["https://openalex.org/I4432739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5089398772"],"corresponding_institution_ids":["https://openalex.org/I4432739"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25023195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"160","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":1.0,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9976000189781189,"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":0.5505262017250061},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.5118622183799744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44799041748046875},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4194068908691406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5505262017250061},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.5118622183799744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44799041748046875},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4194068908691406}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2019.gwc-1.20","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2019.gwc-1.20","pdf_url":"https://aclanthology.org/2019.gwc-1.20.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":"mag:3158960148","is_oa":false,"landing_page_url":"https://aclanthology.org/2019.gwc-1.20/","pdf_url":null,"source":{"id":"https://openalex.org/S4306511800","display_name":"GWC","issn_l":null,"issn":null,"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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"GWC","raw_type":null}],"best_oa_location":{"id":"doi:10.18653/v1/2019.gwc-1.20","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2019.gwc-1.20","pdf_url":"https://aclanthology.org/2019.gwc-1.20.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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3158960148.pdf","grobid_xml":"https://content.openalex.org/works/W3158960148.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W234105","https://openalex.org/W1615991656","https://openalex.org/W2153579005","https://openalex.org/W2164973920","https://openalex.org/W2187089797","https://openalex.org/W2233596200","https://openalex.org/W2250539671","https://openalex.org/W2882319491","https://openalex.org/W2898896245","https://openalex.org/W2950577311","https://openalex.org/W2963606136"],"related_works":["https://openalex.org/W3158650354","https://openalex.org/W3004786981","https://openalex.org/W1576423642","https://openalex.org/W2596054176","https://openalex.org/W2806414733","https://openalex.org/W2611818544","https://openalex.org/W3157244405","https://openalex.org/W2210160324","https://openalex.org/W2900382651","https://openalex.org/W3088357882","https://openalex.org/W2510416666","https://openalex.org/W3158101548","https://openalex.org/W2806237483","https://openalex.org/W38167433","https://openalex.org/W3158267349","https://openalex.org/W2407403466","https://openalex.org/W2089617013","https://openalex.org/W2972436130","https://openalex.org/W1598723751","https://openalex.org/W2779285644"],"abstract_inverted_index":{"AutoExtend":[0],"is":[1],"a":[2,45],"method":[3,47],"for":[4,9],"learning":[5],"unambiguous":[6],"vector":[7],"embeddings":[8,15],"word":[10,14,41,92],"senses.We":[11],"visualise":[12],"these":[13],"with":[16],"t-SNE,":[17],"which":[18],"further":[19],"compresses":[20],"the":[21,24,29,50,78],"vectors":[22],"to":[23,35,54,61,67,73,77,86],"x,y":[25,52],"plane.We":[26],"show":[27],"that":[28,48],"t-SNE":[30],"co-ordinates":[31],"can":[32,58],"be":[33,59],"used":[34,60],"reveal":[36],"interesting":[37],"semantic":[38,56,89],"relations":[39,90],"between":[40],"senses,":[42],"and":[43,65],"propose":[44,62],"new":[46,63],"uses":[49],"simple":[51],"coordinates":[53],"compute":[55],"similarity.This":[57],"links":[64],"alterations":[66],"existing":[68,79],"ones":[69],"in":[70,83,91],"WordNet.We":[71],"plan":[72],"add":[74],"this":[75],"approach":[76],"toolbox":[80],"of":[81],"methods":[82],"an":[84],"attempt":[85],"understand":[87],"learned":[88],"embeddings.":[93]},"counts_by_year":[],"updated_date":"2026-08-22T07:34:49.880490","created_date":"2021-05-10T00:00:00"}