{"id":"https://openalex.org/W3094525432","doi":"https://doi.org/10.1007/s11063-020-10376-8","title":"Systematic Homonym Detection and Replacement Based on Contextual Word Embedding","display_name":"Systematic Homonym Detection and Replacement Based on Contextual Word Embedding","publication_year":2020,"publication_date":"2020-10-20","ids":{"openalex":"https://openalex.org/W3094525432","doi":"https://doi.org/10.1007/s11063-020-10376-8","mag":"3094525432"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-020-10376-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-020-10376-8","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100628487","display_name":"Young\u2010Hoon Lee","orcid":"https://orcid.org/0000-0003-4199-936X"},"institutions":[{"id":"https://openalex.org/I118373667","display_name":"Seoul National University of Science and Technology","ror":"https://ror.org/00chfja07","country_code":"KR","type":"education","lineage":["https://openalex.org/I118373667"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Younghoon Lee","raw_affiliation_strings":["Department of Industrial Engineering, Seoul National University of Science and Technology, 232, Gongneung-ro, Nowon-gu, Seoul, 01811, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Seoul National University of Science and Technology, 232, Gongneung-ro, Nowon-gu, Seoul, 01811, Republic of Korea","institution_ids":["https://openalex.org/I118373667"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100628487"],"corresponding_institution_ids":["https://openalex.org/I118373667"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.4115,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70392472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"53","issue":"1","first_page":"17","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9995999932289124,"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/homonym","display_name":"Homonym (biology)","score":0.9291586875915527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6997312903404236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6601464748382568},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6439205408096313},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6347310543060303},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6206027269363403},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5556949377059937},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5504124164581299},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5056226253509521},{"id":"https://openalex.org/keywords/polysemy","display_name":"Polysemy","score":0.4880598783493042},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4551607668399811},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.45260587334632874},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42290282249450684},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4118277132511139},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29000669717788696},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22622475028038025},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10558575391769409}],"concepts":[{"id":"https://openalex.org/C207062185","wikidata":"https://www.wikidata.org/wiki/Q902085","display_name":"Homonym (biology)","level":3,"score":0.9291586875915527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6997312903404236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6601464748382568},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6439205408096313},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6347310543060303},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6206027269363403},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5556949377059937},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5504124164581299},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5056226253509521},{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.4880598783493042},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4551607668399811},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.45260587334632874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42290282249450684},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4118277132511139},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29000669717788696},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22622475028038025},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10558575391769409},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C157369684","wikidata":"https://www.wikidata.org/wiki/Q34740","display_name":"Genus","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-020-10376-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11063-020-10376-8","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.47999998927116394,"display_name":"Gender equality"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1208937987","https://openalex.org/W1547987453","https://openalex.org/W1607091478","https://openalex.org/W1832693441","https://openalex.org/W1850888726","https://openalex.org/W1912764128","https://openalex.org/W1925417509","https://openalex.org/W1977510887","https://openalex.org/W1984293430","https://openalex.org/W2065269465","https://openalex.org/W2113054345","https://openalex.org/W2120069889","https://openalex.org/W2123432324","https://openalex.org/W2137811660","https://openalex.org/W2150376021","https://openalex.org/W2153579005","https://openalex.org/W2162833336","https://openalex.org/W2173681125","https://openalex.org/W2196350189","https://openalex.org/W2220660951","https://openalex.org/W2250539671","https://openalex.org/W2252215182","https://openalex.org/W2478084619","https://openalex.org/W2478335122","https://openalex.org/W2492797923","https://openalex.org/W2548006041","https://openalex.org/W2566927129","https://openalex.org/W2567560848","https://openalex.org/W2604804633","https://openalex.org/W2605981873","https://openalex.org/W2618694545","https://openalex.org/W2751374884","https://openalex.org/W2761917259","https://openalex.org/W2765760594","https://openalex.org/W2882319491","https://openalex.org/W2883493457","https://openalex.org/W2910932185","https://openalex.org/W2940791172","https://openalex.org/W2959159453","https://openalex.org/W2962739339","https://openalex.org/W2963341956","https://openalex.org/W2965763390","https://openalex.org/W2965898445","https://openalex.org/W2980021800","https://openalex.org/W2981165461","https://openalex.org/W3004008529","https://openalex.org/W3006188291","https://openalex.org/W3101036898","https://openalex.org/W3103427817","https://openalex.org/W4235169531","https://openalex.org/W4249513657","https://openalex.org/W4285719527","https://openalex.org/W6600299915","https://openalex.org/W6702248584"],"related_works":["https://openalex.org/W3132982245","https://openalex.org/W2108061274","https://openalex.org/W2798669739","https://openalex.org/W4323981018","https://openalex.org/W3158961393","https://openalex.org/W2249191539","https://openalex.org/W2567035470","https://openalex.org/W2967506468","https://openalex.org/W2949267551","https://openalex.org/W4321320117"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}