{"id":"https://openalex.org/W2109466493","doi":"https://doi.org/10.3115/1075096.1075156","title":"A syllable based word recognition model for Korean noun extraction","display_name":"A syllable based word recognition model for Korean noun extraction","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2109466493","doi":"https://doi.org/10.3115/1075096.1075156","mag":"2109466493"},"language":"en","primary_location":{"id":"doi:10.3115/1075096.1075156","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1075096.1075156","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1075096.1075156","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st Annual Meeting on Association for Computational Linguistics  - ACL '03","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1075096.1075156","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069113574","display_name":"Do-Gil Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Do-Gil Lee","raw_affiliation_strings":["Korea University, Seongbuk-ku, Seoul, Korea","Korea University, Seongbuk-ku, Seoul, Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seongbuk-ku, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea University, Seongbuk-ku, Seoul, Korea#TAB#","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111783356","display_name":"Hae\u2010Chang Rim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hae-Chang Rim","raw_affiliation_strings":["Korea University, Seongbuk-ku, Seoul, Korea","Korea University, Seongbuk-ku, Seoul, Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seongbuk-ku, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Korea University, Seongbuk-ku, Seoul, Korea#TAB#","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033580486","display_name":"Heuiseok Lim","orcid":"https://orcid.org/0000-0002-9269-1157"},"institutions":[{"id":"https://openalex.org/I102786147","display_name":"Dongseo University","ror":"https://ror.org/00wygsf57","country_code":"KR","type":"education","lineage":["https://openalex.org/I102786147"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heui-Seok Lim","raw_affiliation_strings":["Chonan University, AnSeo-dong, Korea","Chonan University, AnSeo-dong, Korea#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonan University, AnSeo-dong, Korea","institution_ids":["https://openalex.org/I102786147"]},{"raw_affiliation_string":"Chonan University, AnSeo-dong, Korea#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4688,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75279291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"471","last_page":"478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.919700026512146,"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":0.919700026512146,"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/computer-science","display_name":"Computer science","score":0.8197686672210693},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.788723349571228},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.7198629379272461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6998367309570312},{"id":"https://openalex.org/keywords/syllable","display_name":"Syllable","score":0.6673441529273987},{"id":"https://openalex.org/keywords/morpheme","display_name":"Morpheme","score":0.5907803177833557},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.48753616213798523},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4818514585494995},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4596744179725647},{"id":"https://openalex.org/keywords/part-of-speech","display_name":"Part of speech","score":0.42124325037002563},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.42045480012893677},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.41815224289894104},{"id":"https://openalex.org/keywords/proper-noun","display_name":"Proper noun","score":0.41536056995391846},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.30097708106040955},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.1494865119457245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8197686672210693},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.788723349571228},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.7198629379272461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6998367309570312},{"id":"https://openalex.org/C109089402","wikidata":"https://www.wikidata.org/wiki/Q8188","display_name":"Syllable","level":2,"score":0.6673441529273987},{"id":"https://openalex.org/C165297611","wikidata":"https://www.wikidata.org/wiki/Q43249","display_name":"Morpheme","level":2,"score":0.5907803177833557},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.48753616213798523},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4818514585494995},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4596744179725647},{"id":"https://openalex.org/C123406163","wikidata":"https://www.wikidata.org/wiki/Q82042","display_name":"Part of speech","level":2,"score":0.42124325037002563},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.42045480012893677},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.41815224289894104},{"id":"https://openalex.org/C41417386","wikidata":"https://www.wikidata.org/wiki/Q147276","display_name":"Proper noun","level":2,"score":0.41536056995391846},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.30097708106040955},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.1494865119457245},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3115/1075096.1075156","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1075096.1075156","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1075096.1075156","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st Annual Meeting on Association for Computational Linguistics  - ACL '03","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.3115/1075096.1075156","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1075096.1075156","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1075096.1075156","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st Annual Meeting on Association for Computational Linguistics  - ACL '03","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2109466493.pdf","grobid_xml":"https://content.openalex.org/works/W2109466493.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W111205082","https://openalex.org/W169285621","https://openalex.org/W1623072288","https://openalex.org/W2121955615"],"related_works":["https://openalex.org/W1976202496","https://openalex.org/W2804834343","https://openalex.org/W3114699995","https://openalex.org/W4313328363","https://openalex.org/W3009966295","https://openalex.org/W4286520541","https://openalex.org/W3164343361","https://openalex.org/W4205975177","https://openalex.org/W1987033219","https://openalex.org/W2395587213"],"abstract_inverted_index":{"Noun":[0],"extraction":[1,25,61],"is":[2],"very":[3],"important":[4],"for":[5,107],"many":[6],"NLP":[7],"applications":[8],"such":[9,44],"as":[10,45],"information":[11,17,87],"retrieval,":[12],"automatic":[13],"text":[14],"classification,":[15],"and":[16,48,53,93,109],"extraction.":[18],"Most":[19],"of":[20,40,78,122],"the":[21,41,65,73,79,89,125,138,145],"previous":[22,146],"Korean":[23],"noun":[24,60],"systems":[26],"use":[27],"a":[28,32,58,119],"morphological":[29,54,133],"analyzer":[30],"or":[31,135],"Part-of-Speech":[33],"(POS)":[34],"tagger.":[35],"Therefore,":[36],"they":[37],"require":[38,104],"much":[39],"linguistic":[42,111],"knowledge":[43],"morpheme":[46],"dictionaries":[47],"rules":[49,52],"(e.g.":[50],"morphosyntactic":[51],"rules).This":[55],"paper":[56],"proposes":[57],"new":[59],"method":[62,140],"that":[63,131],"uses":[64],"syllable":[66],"based":[67],"word":[68,98],"recognition":[69],"model.":[70],"It":[71],"finds":[72],"most":[74],"probable":[75],"syllable-tag":[76],"sequence":[77],"input":[80],"sentence":[81],"by":[82,96],"using":[83],"automatically":[84],"acquired":[85],"statistical":[86],"from":[88],"POS":[90,136],"tagged":[91],"corpus":[92],"extracts":[94],"nouns":[95],"detecting":[97],"boundaries.":[99],"Furthermore,":[100],"it":[101],"does":[102],"not":[103],"any":[105],"labor":[106],"constructing":[108],"maintaining":[110],"knowledge.":[112],"We":[113],"have":[114],"performed":[115],"various":[116],"experiments":[117],"with":[118,144],"wide":[120],"range":[121],"variables":[123],"influencing":[124],"performance.":[126],"The":[127],"experimental":[128],"results":[129],"show":[130],"without":[132],"analysis":[134],"tagging,":[137],"proposed":[139],"achieves":[141],"comparable":[142],"performance":[143],"methods.":[147]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}