{"id":"https://openalex.org/W4386692289","doi":"https://doi.org/10.1186/s40537-023-00818-0","title":"Hypert: hypernymy-aware BERT with Hearst pattern exploitation for hypernym discovery","display_name":"Hypert: hypernymy-aware BERT with Hearst pattern exploitation for hypernym discovery","publication_year":2023,"publication_date":"2023-09-12","ids":{"openalex":"https://openalex.org/W4386692289","doi":"https://doi.org/10.1186/s40537-023-00818-0"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-023-00818-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00818-0","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-023-00818-0.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s40537-023-00818-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111039142","display_name":"Geonil Yun","orcid":null},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Geonil Yun","raw_affiliation_strings":["Department of Artificial Intelligence, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366482","display_name":"Yongjae Lee","orcid":"https://orcid.org/0000-0002-5411-4340"},"institutions":[{"id":"https://openalex.org/I4210148737","display_name":"CHA University","ror":"https://ror.org/04yka3j04","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210148737","https://openalex.org/I4405258985"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongjae Lee","raw_affiliation_strings":["S2W Inc, 12, Pangyoyeok-ro 192beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13524, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S2W Inc, 12, Pangyoyeok-ro 192beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13524, Republic of Korea","institution_ids":["https://openalex.org/I4210148737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084068555","display_name":"A-Seong Moon","orcid":"https://orcid.org/0000-0001-9880-1401"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"A-Seong Moon","raw_affiliation_strings":["Department of Artificial Intelligence, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100744043","display_name":"Jaesung Lee","orcid":"https://orcid.org/0000-0002-3757-3510"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaesung Lee","raw_affiliation_strings":["AI/ML Innovation Research Center, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea","Department of Artificial Intelligence, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI/ML Innovation Research Center, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100744043"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":{"value":1990,"currency":"USD","value_usd":1990},"apc_paid":{"value":1990,"currency":"USD","value_usd":1990},"fwci":0.9865,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.792998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"10","issue":"1","first_page":null,"last_page":null},"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":0.9998000264167786,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.844478964805603},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7029250860214233},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.695564866065979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6719769239425659},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5875634551048279},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4765630066394806},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4448878765106201},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44321465492248535},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.4376216530799866},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.4267081320285797},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4237111210823059},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22925910353660583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.844478964805603},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7029250860214233},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.695564866065979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6719769239425659},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5875634551048279},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4765630066394806},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4448878765106201},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44321465492248535},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.4376216530799866},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.4267081320285797},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4237111210823059},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22925910353660583},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-023-00818-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00818-0","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-023-00818-0.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2916b2dd6b0647d894f0e921418d044e","is_oa":true,"landing_page_url":"https://doaj.org/article/2916b2dd6b0647d894f0e921418d044e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 10, Iss 1, Pp 1-30 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-023-00818-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00818-0","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-023-00818-0.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3994898768","display_name":null,"funder_award_id":"2021-0-00766","funder_id":"https://openalex.org/F4320321202","funder_display_name":"Chung-Ang University"},{"id":"https://openalex.org/G4149916161","display_name":null,"funder_award_id":"2021-0-01341","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4447557280","display_name":null,"funder_award_id":"2021-0-01341","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4860259677","display_name":null,"funder_award_id":"2021-0-01341","funder_id":"https://openalex.org/F4320321202","funder_display_name":"Chung-Ang University"},{"id":"https://openalex.org/G4887039384","display_name":null,"funder_award_id":"2021-0-00766","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G7306704400","display_name":null,"funder_award_id":"2021-0-00766","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320321202","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386692289.pdf","grobid_xml":"https://content.openalex.org/works/W4386692289.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1857789879","https://openalex.org/W1966907789","https://openalex.org/W2020082880","https://openalex.org/W2068737686","https://openalex.org/W2100258351","https://openalex.org/W2100377551","https://openalex.org/W2101941521","https://openalex.org/W2120699290","https://openalex.org/W2123982464","https://openalex.org/W2133413932","https://openalex.org/W2168565044","https://openalex.org/W2194775991","https://openalex.org/W2250418535","https://openalex.org/W2513110718","https://openalex.org/W2517053141","https://openalex.org/W2561885448","https://openalex.org/W2752658508","https://openalex.org/W2806593956","https://openalex.org/W2807664102","https://openalex.org/W2911489562","https://openalex.org/W2952979909","https://openalex.org/W2962724755","https://openalex.org/W2962909572","https://openalex.org/W2963341956","https://openalex.org/W2964350953","https://openalex.org/W2970476646","https://openalex.org/W2979826702","https://openalex.org/W2991183097","https://openalex.org/W2998567583","https://openalex.org/W3004346089","https://openalex.org/W3044438666","https://openalex.org/W3106025724","https://openalex.org/W3110879614","https://openalex.org/W3111372685","https://openalex.org/W3174951863","https://openalex.org/W4206464005","https://openalex.org/W4206660322","https://openalex.org/W4294170691","https://openalex.org/W4385245566","https://openalex.org/W4385570822","https://openalex.org/W6680535664"],"related_works":["https://openalex.org/W4313384562","https://openalex.org/W2747424680","https://openalex.org/W3123905954","https://openalex.org/W4298857951","https://openalex.org/W2891550009","https://openalex.org/W2953749697","https://openalex.org/W2963718212","https://openalex.org/W3157315903","https://openalex.org/W3184365942","https://openalex.org/W4205618730"],"abstract_inverted_index":{"Abstract":[0],"Hypernym":[1],"discovery":[2,23,129,146],"is":[3,103,121,182],"challenging":[4],"because":[5,47],"it":[6],"aims":[7],"to":[8,62,94],"find":[9,63],"suitable":[10],"instances":[11],"for":[12,86,137,143],"a":[13,17,54,96,134],"given":[14],"hyponym":[15],"from":[16,31,37],"predefined":[18],"hypernym":[19,22,88,92,127,145,164],"vocabulary.":[20],"Existing":[21],"methods":[24,59,154],"used":[25],"supervised":[26],"learning":[27],"with":[28,69,110,139],"word":[29],"embedding":[30,35,39],"word2vec.":[32],"However,":[33],"word2vec":[34],"suffers":[36],"low":[38],"quality":[40],"regarding":[41],"unseen":[42],"or":[43],"rare":[44],"noun":[45,49],"phrases":[46,50],"entire":[48],"are":[51,84],"embedded":[52],"into":[53],"single":[55],"vector.":[56],"Recently,":[57],"prompting":[58],"have":[60],"attempted":[61],"hypernyms":[64],"using":[65,106],"pretrained":[66,105],"language":[67,73,82,108],"models":[68,74,83],"masked":[70,107],"prompts.":[71],"Although":[72],"alleviate":[75],"the":[76,91,115,122,126,144,152,169,172],"problem":[77],"of":[78,117,163,171],"w":[79],"embeddings,":[80],"general-purpose":[81],"ineffective":[85],"capturing":[87],"relationships.":[89],"Considering":[90],"relationship":[93,128],"be":[95],"linguistic":[97],"domain,":[98],"we":[99,167],"introduce":[100],",":[101],"which":[102],"further":[104],"modeling":[109],"Hearst":[111],"pattern":[112],"sentences.":[113],"To":[114],"best":[116],"our":[118],"knowledge,":[119],"this":[120],"first":[123],"attempt":[124],"in":[125,160],"field.":[130],"We":[131],"also":[132],"present":[133],"fine-tuning":[135],"strategy":[136],"training":[138],"special":[140],"input":[141],"prompts":[142],"task.":[147],"The":[148,180],"proposed":[149,174],"method":[150],"outperformed":[151],"comparison":[153],"and":[155],"achieved":[156],"statistically":[157],"significant":[158],"results":[159],"three":[161],"subtasks":[162],"discovery.":[165],"Additionally,":[166],"demonstrate":[168],"effectiveness":[170],"several":[173],"components":[175],"through":[176],"an":[177],"in-depth":[178],"analysis.":[179],"code":[181],"available":[183],"at:":[184],"https://github.com/Gun1Yun/Hypert":[185],".":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}