{"id":"https://openalex.org/W3213714153","doi":"https://doi.org/10.1145/3426020.3426095","title":"Multi-prototype Morpheme Embedding for Text Classification","display_name":"Multi-prototype Morpheme Embedding for Text Classification","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3213714153","doi":"https://doi.org/10.1145/3426020.3426095","mag":"3213714153"},"language":"en","primary_location":{"id":"doi:10.1145/3426020.3426095","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426020.3426095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Conference on Smart Media and Applications","raw_type":"proceedings-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/A5073054062","display_name":"Hye\u2010Jin Won","orcid":"https://orcid.org/0000-0002-6634-8128"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyejin Won","raw_affiliation_strings":["Kookmin University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Kookmin University, S. Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101735131","display_name":"Hyunyoung Lee","orcid":"https://orcid.org/0000-0003-2553-6576"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunyoung Lee","raw_affiliation_strings":["Kookmin University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Kookmin University, S. Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017037508","display_name":"Seung-Shik Kang","orcid":"https://orcid.org/0000-0003-3318-6326"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungshik Kang","raw_affiliation_strings":["Kookmin University, S. Korea"],"affiliations":[{"raw_affiliation_string":"Kookmin University, S. Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073054062"],"corresponding_institution_ids":["https://openalex.org/I110273157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.26617414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"295","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","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/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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/morpheme","display_name":"Morpheme","score":0.9565237760543823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6522115468978882},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6472270488739014},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6445283889770508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5707566142082214},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5434136986732483},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.523503839969635},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5115429162979126},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4593295454978943},{"id":"https://openalex.org/keywords/agglutinative-language","display_name":"Agglutinative language","score":0.41608351469039917},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36905521154403687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31487494707107544},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23503759503364563}],"concepts":[{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.9565237760543823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6522115468978882},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6472270488739014},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6445283889770508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5707566142082214},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5434136986732483},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.523503839969635},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5115429162979126},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4593295454978943},{"id":"https://openalex.org/C80875076","wikidata":"https://www.wikidata.org/wiki/Q171263","display_name":"Agglutinative language","level":3,"score":0.41608351469039917},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36905521154403687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31487494707107544},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23503759503364563},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3426020.3426095","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3426020.3426095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 9th International Conference on Smart Media and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2100062901","https://openalex.org/W2153579005","https://openalex.org/W2164019165","https://openalex.org/W2164973920","https://openalex.org/W2251537235","https://openalex.org/W2251939518","https://openalex.org/W2396823627","https://openalex.org/W2507974895","https://openalex.org/W2531638282","https://openalex.org/W2579285701","https://openalex.org/W2908031297","https://openalex.org/W2950577311","https://openalex.org/W3016815293"],"related_works":["https://openalex.org/W2501899044","https://openalex.org/W2013556410","https://openalex.org/W1875057406","https://openalex.org/W2250538341","https://openalex.org/W2806955548","https://openalex.org/W2403232536","https://openalex.org/W4385342823","https://openalex.org/W4378419095","https://openalex.org/W4286432911","https://openalex.org/W4214807560"],"abstract_inverted_index":{"Representing":[0],"a":[1,4,10,43,56,93,103,125,149,172],"word":[2,11,51,73],"into":[3,38,83,98],"continuous":[5],"space,":[6],"also":[7,92],"known":[8],"as":[9,55,68,86,169,171],"vector,":[12],"has":[13,23,91],"been":[14],"successful":[15],"in":[16,75,148,153],"various":[17],"NLP":[18],"tasks.":[19],"The":[20],"word-based":[21],"embedding":[22,90,119,145,168],"two":[24],"problems;":[25],"one":[26],"is":[27,34,46,53,81],"the":[28,32,40,63,106,109,115,137,154,158,165],"out-of-vocabulary":[29,61,110],"problem":[30,94],"and":[31,48,129],"other":[33],"does":[35],"not":[36],"take":[37,97],"account":[39,99],"context":[41,151],"of":[42,102,124],"word,":[44],"which":[45],"homonymy,":[47],"polysemy":[49],"since":[50],"vector":[52,155],"represented":[54],"single":[57],"vector.":[58],"To":[59],"against":[60],"problem,":[62],"previous":[64,159,166],"researches":[65],"handle":[66,133],"it":[67],"splitting":[69],"smaller":[70],"unit":[71,85],"than":[72,157],"unit,":[74],"particular,":[76],"mainly":[77],"morphologically":[78],"rich":[79],"language":[80],"decomposed":[82],"morpheme":[84,89,104,107,118,144,147,160,167],"Korean.":[87],"However,":[88],"that":[95,141],"doesn't":[96],"multiple":[100,122],"senses":[101,123],"although":[105],"mitigates":[108],"problem.":[111],"Therefore,":[112],"we":[113,139],"propose":[114],"Korean":[116],"multi-prototype":[117,134,143],"method":[120,163],"representing":[121],"morpheme.":[126,135],"Connecting":[127],"morphemes":[128],"POS":[130],"vectors":[131],"to":[132],"In":[136],"experiment,":[138],"found":[140],"our":[142],"makes":[146],"similar":[150],"closer":[152],"space":[156],"embedding.":[161],"Our":[162],"outperforms":[164],"well":[170],"baseline.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}