{"id":"https://openalex.org/W4400984306","doi":"https://doi.org/10.1145/3677524","title":"Word Sense Disambiguation Combining Knowledge Graph and Text Hierarchical Structure","display_name":"Word Sense Disambiguation Combining Knowledge Graph and Text Hierarchical Structure","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4400984306","doi":"https://doi.org/10.1145/3677524"},"language":"en","primary_location":{"id":"doi:10.1145/3677524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3677524","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","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/A5102822338","display_name":"Yukun Cao","orcid":"https://orcid.org/0000-0002-3066-3062"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yukun Cao","raw_affiliation_strings":["Computer Science Department, Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3066-3062","affiliations":[{"raw_affiliation_string":"Computer Science Department, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086291979","display_name":"Chengkun Jin","orcid":"https://orcid.org/0000-0003-0677-5192"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengkun Jin","raw_affiliation_strings":["Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0677-5192","affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065148585","display_name":"Yijia Tang","orcid":"https://orcid.org/0000-0001-7585-9715"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijia Tang","raw_affiliation_strings":["Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7585-9715","affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049620484","display_name":"Ziyue Wei","orcid":"https://orcid.org/0000-0001-8770-0576"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZiYue Wei","raw_affiliation_strings":["Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8770-0576","affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102822338"],"corresponding_institution_ids":["https://openalex.org/I23632641"],"apc_list":null,"apc_paid":null,"fwci":0.3311,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64004368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"23","issue":"12","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10028","display_name":"Topic Modeling","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/T10215","display_name":"Semantic Web and Ontologies","score":0.9979000091552734,"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-sense-disambiguation","display_name":"Word-sense disambiguation","score":0.7715613842010498},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6809811592102051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581137180328369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5644980072975159},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46334606409072876},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46224144101142883},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.36776572465896606},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.107689768075943},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.09312447905540466},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06122928857803345}],"concepts":[{"id":"https://openalex.org/C51646954","wikidata":"https://www.wikidata.org/wiki/Q48522","display_name":"Word-sense disambiguation","level":3,"score":0.7715613842010498},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6809811592102051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581137180328369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5644980072975159},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46334606409072876},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46224144101142883},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.36776572465896606},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.107689768075943},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.09312447905540466},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06122928857803345}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3677524","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3677524","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7300000190734863,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1498990157","https://openalex.org/W2031026221","https://openalex.org/W2065157922","https://openalex.org/W2081580037","https://openalex.org/W2540645427","https://openalex.org/W2753392522","https://openalex.org/W2785761199","https://openalex.org/W2891031945","https://openalex.org/W2896457183","https://openalex.org/W2900172366","https://openalex.org/W2912512851","https://openalex.org/W2946768687","https://openalex.org/W2951465421","https://openalex.org/W2964855489","https://openalex.org/W2965373594","https://openalex.org/W2966349618","https://openalex.org/W2970166416","https://openalex.org/W2970773744","https://openalex.org/W2978017171","https://openalex.org/W2997292130","https://openalex.org/W3034675880","https://openalex.org/W3034782826","https://openalex.org/W3038047120","https://openalex.org/W3119967980","https://openalex.org/W3169262646","https://openalex.org/W3213432108","https://openalex.org/W4225883156","https://openalex.org/W4285250447","https://openalex.org/W4288097928","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W2296205523","https://openalex.org/W2325435433","https://openalex.org/W2188275805","https://openalex.org/W2498383244","https://openalex.org/W2259621217","https://openalex.org/W2904069821","https://openalex.org/W2771050216","https://openalex.org/W2613956519","https://openalex.org/W3087778885","https://openalex.org/W2175675225"],"abstract_inverted_index":{"Current":[0],"supervised":[1,28],"word":[2,16,29,62],"sense":[3,30,63],"disambiguation":[4,9,31,64,128,141,161],"models":[5,32],"have":[6],"obtained":[7],"high":[8],"results":[10],"using":[11,88],"annotated":[12],"information":[13,45,117],"of":[14,26,37,42,91,99,130,143,163],"different":[15,55],"senses":[17],"and":[18,40,70,101,103,137,171],"pre-trained":[19],"language":[20],"models.":[21],"However,":[22],"the":[23,27,35,43,52,79,89,97,115,119,127,131,140,144,148,151,160,164,168],"semantic":[24,86],"data":[25],"are":[33],"in":[34,54,118,134,156],"form":[36,136],"short":[38],"texts,":[39],"much":[41],"corpus":[44],"is":[46],"not":[47],"rich":[48],"enough":[49],"to":[50,82,95,113,125],"distinguish":[51],"semantics":[53],"scenarios.":[56],"This":[57],"article":[58],"proposes":[59],"a":[60,67,105,109],"bi-encoder":[61],"method":[65,149,165],"combining":[66],"knowledge":[68,77,80],"graph":[69,81,110],"text":[71,94],"hierarchy":[72,90],"structure,":[73],"by":[74],"introducing":[75,108],"structured":[76],"from":[78],"supplement":[83],"more":[84],"extended":[85],"information,":[87],"contextual":[92,120],"input":[93,121],"describe":[96],"meaning":[98],"words":[100,133],"phrases,":[102],"constructing":[104],"BERT-based":[106],"bi-encoder,":[107],"attention":[111],"network":[112],"reduce":[114],"noise":[116],"text,":[122],"so":[123],"as":[124],"improve":[126,139],"accuracy":[129,162],"target":[132],"phrase":[135],"ultimately":[138],"effectiveness":[142],"method.":[145],"By":[146],"comparing":[147],"with":[150],"latest":[152],"nine":[153],"comparison":[154,169],"algorithms":[155,170],"five":[157],"test":[158],"datasets,":[159],"mostly":[166],"outperformed":[167],"achieved":[172],"better":[173],"results.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
