{"id":"https://openalex.org/W3158642637","doi":"https://doi.org/10.18653/v1/2019.gwc-1.29","title":"Fitting Semantic Relations to Word Embeddings","display_name":"Fitting Semantic Relations to Word Embeddings","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W3158642637","doi":"https://doi.org/10.18653/v1/2019.gwc-1.29","mag":"3158642637"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2019.gwc-1.29","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2019.gwc-1.29","pdf_url":"https://aclanthology.org/2019.gwc-1.29.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-1.29.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061845400","display_name":"Eric Kafe","orcid":"https://orcid.org/0000-0003-4787-148X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Eric Kafe","raw_affiliation_strings":["Charlottenlund , Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charlottenlund , Denmark","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5061845400"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1086,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47177027,"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":"228","last_page":"237"},"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":0.9966999888420105,"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/word","display_name":"Word (group theory)","score":0.6269522905349731},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5680210590362549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5170460343360901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4831825792789459},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.46893051266670227},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.12711894512176514}],"concepts":[{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6269522905349731},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5680210590362549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5170460343360901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4831825792789459},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.46893051266670227},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.12711894512176514}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2019.gwc-1.29","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2019.gwc-1.29","pdf_url":"https://aclanthology.org/2019.gwc-1.29.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:3158642637","is_oa":false,"landing_page_url":"https://aclanthology.org/2019.gwc-1.29/","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-1.29","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2019.gwc-1.29","pdf_url":"https://aclanthology.org/2019.gwc-1.29.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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3158642637.pdf","grobid_xml":"https://content.openalex.org/works/W3158642637.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1615991656","https://openalex.org/W2038721957","https://openalex.org/W2126725946","https://openalex.org/W2141599568","https://openalex.org/W2153579005","https://openalex.org/W2250539671","https://openalex.org/W2250930514","https://openalex.org/W2251176673","https://openalex.org/W2460442863","https://openalex.org/W2572487292","https://openalex.org/W2739638526","https://openalex.org/W2803176955","https://openalex.org/W2865541675","https://openalex.org/W2963176474","https://openalex.org/W2963639656","https://openalex.org/W3157362695","https://openalex.org/W3159521387"],"related_works":["https://openalex.org/W2771348687","https://openalex.org/W2884820193","https://openalex.org/W2990896562","https://openalex.org/W2990152790","https://openalex.org/W2779570636","https://openalex.org/W2999207497","https://openalex.org/W3101950626","https://openalex.org/W2461583636","https://openalex.org/W2236589534","https://openalex.org/W2888612472","https://openalex.org/W2990216516","https://openalex.org/W2957289806","https://openalex.org/W2774467464","https://openalex.org/W2807009904","https://openalex.org/W2597496653","https://openalex.org/W3119300200","https://openalex.org/W2898710196","https://openalex.org/W2888279225","https://openalex.org/W2954487701","https://openalex.org/W2908211092"],"abstract_inverted_index":{"We":[0],"fit":[1],"WordNet":[2],"relations":[3,49,62,71],"to":[4,108],"word":[5],"embeddings,":[6],"using":[7],"3CosAvg":[8,78],"and":[9,17,38,52,57,75,79,96],"LRCos,":[10],"two":[11],"setbased":[12],"methods":[13],"for":[14],"analogy":[15],"resolution,":[16],"introduce":[18],"3CosWeight,":[19],"a":[20,105],"new,":[21],"weighted":[22],"variant":[23],"of":[24,29,42,60],"3CosAvg.We":[25],"test":[26],"the":[27,30,43,55,64,69,83,91],"performance":[28],"resulting":[31],"semantic":[32],"vectors":[33],"in":[34,85],"lexicographic":[35],"semantics":[36],"tests,":[37],"show":[39],"that":[40,99],"none":[41],"tested":[44],"classifiers":[45],"can":[46],"learn":[47],"symmetric":[48],"like":[50],"synonymy":[51],"antonymy,":[53],"since":[54],"source":[56],"target":[58],"words":[59],"these":[61],"are":[63],"same":[65],"set.By":[66],"contrast,":[67],"with":[68,94],"asymmetric":[70],"(hyperonymy":[72],"/":[73],"hyponymy":[74,95],"meronymy),":[76],"both":[77],"LR-Cos":[80],"clearly":[81],"outperform":[82],"baseline":[84],"all":[86],"cases,":[87],"while":[88],"3CosWeight":[89],"attained":[90],"best":[92],"scores":[93],"meronymy,":[97],"suggesting":[98],"this":[100],"new":[101],"method":[102],"could":[103],"provide":[104],"useful":[106],"alternative":[107],"previous":[109],"approaches.-0.005":[110],"-0.004":[111],"-0.003":[112],"-0.002":[113],"-0.001":[114],"0.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-23T07:36:19.812096","created_date":"2021-05-10T00:00:00"}