{"id":"https://openalex.org/W3170807679","doi":"https://doi.org/10.3233/jifs-202286","title":"Towards corpus and model: Hierarchical structured-attention-based features for Indonesian named entity recognition","display_name":"Towards corpus and model: Hierarchical structured-attention-based features for Indonesian named entity recognition","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3170807679","doi":"https://doi.org/10.3233/jifs-202286","mag":"3170807679"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-202286","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-202286","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5014108621","display_name":"Yingwen Fu","orcid":"https://orcid.org/0000-0001-6974-3468"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingwen Fu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070480766","display_name":"Nankai Lin","orcid":"https://orcid.org/0000-0003-2838-8273"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nankai Lin","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082813391","display_name":"Xiaotian Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotian Lin","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084625962","display_name":"Shengyi Jiang","orcid":"https://orcid.org/0000-0002-6753-474X"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengyi Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Foreign Studies, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I186272606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084625962"],"corresponding_institution_ids":["https://openalex.org/I186272606"],"apc_list":null,"apc_paid":null,"fwci":0.6996,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75923764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"41","issue":"1","first_page":"563","last_page":"574"},"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":0.9993000030517578,"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":0.9775000214576721,"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":0.8406490087509155},{"id":"https://openalex.org/keywords/indonesian","display_name":"Indonesian","score":0.7661877274513245},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7169008255004883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6599228382110596},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5695368051528931},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5315829515457153},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.5122045874595642},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.49079689383506775},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4598807096481323},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.45551884174346924},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.21161720156669617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8406490087509155},{"id":"https://openalex.org/C2779207338","wikidata":"https://www.wikidata.org/wiki/Q9240","display_name":"Indonesian","level":2,"score":0.7661877274513245},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7169008255004883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6599228382110596},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5695368051528931},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5315829515457153},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.5122045874595642},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.49079689383506775},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4598807096481323},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.45551884174346924},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.21161720156669617},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-202286","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-202286","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2095705004","https://openalex.org/W2147880316","https://openalex.org/W2345555172","https://openalex.org/W2613904329","https://openalex.org/W2889383784","https://openalex.org/W2963625095","https://openalex.org/W2974511542","https://openalex.org/W6674330103","https://openalex.org/W6682082992","https://openalex.org/W6737778391","https://openalex.org/W6754496709"],"related_works":["https://openalex.org/W4242621793","https://openalex.org/W648807974","https://openalex.org/W4229837155","https://openalex.org/W4236086937","https://openalex.org/W2294302573","https://openalex.org/W4312419881","https://openalex.org/W2512763533","https://openalex.org/W4248715694","https://openalex.org/W3157735060","https://openalex.org/W4390012396"],"abstract_inverted_index":{"Named":[0],"entity":[1],"recognition":[2],"(NER)":[3],"is":[4,55],"fundamental":[5],"to":[6,33,109,129,150],"natural":[7],"language":[8,20],"processing":[9],"(NLP).":[10],"Most":[11],"state-of-the-art":[12],"researches":[13,29],"on":[14,18,166],"NER":[15,88,97,128],"are":[16,30,49,83],"based":[17],"pre-trained":[19],"models":[21,82],"(PLMs)":[22],"or":[23],"classic":[24],"neural":[25],"models.":[26],"However,":[27,76],"these":[28],"mainly":[31],"oriented":[32],"high-resource":[34],"languages":[35],"such":[36],"as":[37,143,145],"English.":[38],"While":[39],"for":[40,60,71,126],"Indonesian,":[41],"related":[42],"resources":[43,115],"(both":[44],"in":[45,90,116],"dataset":[46,98],"and":[47,68,156,168],"technology)":[48],"not":[50],"yet":[51],"well-developed.":[52],"Besides,":[53],"affix":[54],"an":[56,95,139,146],"important":[57],"word":[58],"composition":[59],"Indonesian":[61,73,87,96,127],"language,":[62],"indicating":[63],"the":[64,111],"essentiality":[65],"of":[66,113],"character":[67],"token":[69],"features":[70,77,132,153],"token-wise":[72],"NLP":[74],"tasks.":[75],"extracted":[78],"by":[79],"currently":[80],"top-performance":[81],"insufficient.":[84],"Aiming":[85],"at":[86],"task,":[89],"this":[91],"paper,":[92],"we":[93,119,137],"build":[94],"(IDNER)":[99],"comprising":[100],"over":[101],"50":[102],"thousand":[103,107],"sentences":[104],"(over":[105],"670":[106],"tokens)":[108],"alleviate":[110],"shortage":[112],"labeled":[114],"Indonesian.":[117],"Furthermore,":[118],"construct":[120],"a":[121],"hierarchical":[122],"structured-attention-based":[123],"model":[124],"(HSA)":[125],"extract":[130,151],"sequence":[131],"from":[133,154],"different":[134],"perspectives.":[135],"Specifically,":[136],"use":[138],"enhanced":[140,147],"convolutional":[141],"structure":[142,149],"well":[144],"attention":[148],"deeper":[152],"characters":[155],"tokens.":[157],"Experimental":[158],"results":[159],"show":[160],"that":[161],"HSA":[162],"establishes":[163],"competitive":[164],"performance":[165],"IDNER":[167],"three":[169],"benchmark":[170],"datasets.":[171]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}