{"id":"https://openalex.org/W3141108820","doi":"https://doi.org/10.1109/taslp.2021.3069295","title":"A Joint Model for Named Entity Recognition With Sentence-Level Entity Type Attentions","display_name":"A Joint Model for Named Entity Recognition With Sentence-Level Entity Type Attentions","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3141108820","doi":"https://doi.org/10.1109/taslp.2021.3069295","mag":"3141108820"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2021.3069295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2021.3069295","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language 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/A5035133018","display_name":"Qian Tao","orcid":"https://orcid.org/0000-0002-8416-7224"},"institutions":[{"id":"https://openalex.org/I4210101555","display_name":"Hubei University of Science and Technology","ror":"https://ror.org/018wg9441","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101555"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Qian","raw_affiliation_strings":["School of Computer Science and Technology, Hubei University of Science and Technology, Xianning, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hubei University of Science and Technology, Xianning, China","institution_ids":["https://openalex.org/I4210101555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004953265","display_name":"Meishan Zhang","orcid":"https://orcid.org/0000-0001-6335-1340"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meishan Zhang","raw_affiliation_strings":["School of New Media and Communication, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of New Media and Communication, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063227535","display_name":"Yinxia Lou","orcid":"https://orcid.org/0000-0001-5500-5982"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinxia Lou","raw_affiliation_strings":["School of Wisdom Education, School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Wisdom Education, School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046306250","display_name":"Daiwen Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101555","display_name":"Hubei University of Science and Technology","ror":"https://ror.org/018wg9441","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daiwen Hua","raw_affiliation_strings":["School of Computer Science and Technology, Hubei University of Science and Technology, Xianning, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hubei University of Science and Technology, Xianning, China","institution_ids":["https://openalex.org/I4210101555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035133018"],"corresponding_institution_ids":["https://openalex.org/I4210101555"],"apc_list":null,"apc_paid":null,"fwci":2.1756,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89472198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"29","issue":null,"first_page":"1438","last_page":"1448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9807000160217285,"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/sentence","display_name":"Sentence","score":0.8477222919464111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8270540237426758},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.7993648052215576},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.7563911080360413},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7082509994506836},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6792088150978088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6589922904968262},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6472551226615906},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6387895345687866},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5442628264427185},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5153038501739502},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46997660398483276},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42349669337272644},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3537701964378357},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06508180499076843}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8477222919464111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8270540237426758},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.7993648052215576},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.7563911080360413},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7082509994506836},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6792088150978088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589922904968262},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6472551226615906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6387895345687866},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5442628264427185},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5153038501739502},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46997660398483276},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42349669337272644},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3537701964378357},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06508180499076843},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2021.3069295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2021.3069295","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G2525221398","display_name":null,"funder_award_id":"62006054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4335019178","display_name":null,"funder_award_id":"61602160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6442732870","display_name":null,"funder_award_id":"61772378","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":105,"referenced_works":["https://openalex.org/W1565763308","https://openalex.org/W1940872118","https://openalex.org/W2020278455","https://openalex.org/W2047782770","https://openalex.org/W2085989833","https://openalex.org/W2103076621","https://openalex.org/W2141099517","https://openalex.org/W2153579005","https://openalex.org/W2155069789","https://openalex.org/W2158899491","https://openalex.org/W2250539671","https://openalex.org/W2252066972","https://openalex.org/W2296283641","https://openalex.org/W2342877923","https://openalex.org/W2515248967","https://openalex.org/W2515462165","https://openalex.org/W2515741950","https://openalex.org/W2552553554","https://openalex.org/W2559281960","https://openalex.org/W2604986524","https://openalex.org/W2605089588","https://openalex.org/W2615487675","https://openalex.org/W2624275270","https://openalex.org/W2740006839","https://openalex.org/W2743028754","https://openalex.org/W2759245808","https://openalex.org/W2783789550","https://openalex.org/W2785787385","https://openalex.org/W2880875857","https://openalex.org/W2891602716","https://openalex.org/W2896457183","https://openalex.org/W2904442979","https://openalex.org/W2911489562","https://openalex.org/W2915429162","https://openalex.org/W2929208326","https://openalex.org/W2949369097","https://openalex.org/W2950419928","https://openalex.org/W2950938254","https://openalex.org/W2951820126","https://openalex.org/W2951911250","https://openalex.org/W2952087486","https://openalex.org/W2952230511","https://openalex.org/W2952594430","https://openalex.org/W2962776659","https://openalex.org/W2962902328","https://openalex.org/W2962904552","https://openalex.org/W2962929649","https://openalex.org/W2962941447","https://openalex.org/W2963140597","https://openalex.org/W2963186636","https://openalex.org/W2963339489","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963619022","https://openalex.org/W2963625095","https://openalex.org/W2963706742","https://openalex.org/W2964052092","https://openalex.org/W2964222246","https://openalex.org/W2970400306","https://openalex.org/W2970509139","https://openalex.org/W2970771982","https://openalex.org/W2970854433","https://openalex.org/W2971019153","https://openalex.org/W2989442194","https://openalex.org/W2998098272","https://openalex.org/W3001393026","https://openalex.org/W3034328552","https://openalex.org/W3035625205","https://openalex.org/W3046794377","https://openalex.org/W3099823079","https://openalex.org/W3100276395","https://openalex.org/W3102725307","https://openalex.org/W3105935311","https://openalex.org/W3119001746","https://openalex.org/W3175363122","https://openalex.org/W4288029053","https://openalex.org/W4294170691","https://openalex.org/W4294635415","https://openalex.org/W4297748452","https://openalex.org/W4385245566","https://openalex.org/W4385681388","https://openalex.org/W6633944201","https://openalex.org/W6640362995","https://openalex.org/W6675366379","https://openalex.org/W6682691769","https://openalex.org/W6683166357","https://openalex.org/W6683738474","https://openalex.org/W6691656781","https://openalex.org/W6704132260","https://openalex.org/W6726295259","https://openalex.org/W6730033830","https://openalex.org/W6730280478","https://openalex.org/W6736096391","https://openalex.org/W6736175030","https://openalex.org/W6738256779","https://openalex.org/W6739901393","https://openalex.org/W6752324926","https://openalex.org/W6752788575","https://openalex.org/W6755207826","https://openalex.org/W6762894170","https://openalex.org/W6763821806","https://openalex.org/W6770323397","https://openalex.org/W6772325365","https://openalex.org/W6773297000","https://openalex.org/W6785794352"],"related_works":["https://openalex.org/W2962906565","https://openalex.org/W189110383","https://openalex.org/W4399418584","https://openalex.org/W3047727388","https://openalex.org/W2027233318","https://openalex.org/W2062502130","https://openalex.org/W2132038179","https://openalex.org/W2961904766","https://openalex.org/W2165958952","https://openalex.org/W3189432386"],"abstract_inverted_index":{"Named":[0],"entity":[1],"recognition":[2],"(NER)":[3],"is":[4,13,139],"one":[5],"fundamental":[6],"task":[7,25],"in":[8,66,84,143],"natural":[9],"language":[10],"processing,":[11],"which":[12],"typically":[14],"addressed":[15],"by":[16],"neural":[17,43],"condition":[18],"random":[19],"field":[20],"(CRF)":[21],"models,":[22],"regarding":[23],"the":[24,38,113],"as":[26,46],"a":[27,74,102,105],"sequence":[28],"labeling":[29],"problem.":[30],"Sentence-level":[31],"information":[32,55],"has":[33,61],"been":[34,63],"shown":[35],"positive":[36],"for":[37,77],"task.":[39],"Equipped":[40],"with":[41],"sophisticated":[42],"structures":[44],"such":[45],"long-short":[47],"term":[48],"memory":[49],"network":[50],"(LSTM),":[51],"implicit":[52],"sentence-level":[53,82,95],"global":[54],"can":[56],"be":[57],"exploited":[58],"fully,":[59],"and":[60,146],"also":[62],"demonstrated":[64],"effective":[65],"previous":[67],"studies.":[68],"In":[69],"this":[70],"work,":[71],"we":[72,89],"propose":[73],"new":[75],"method":[76],"better":[78],"learning":[79,116],"of":[80,108,125],"these":[81],"features":[83],"an":[85,91],"explicit":[86],"manner.":[87],"Concretely,":[88],"suggest":[90],"auxiliary":[92],"task,":[93],"namely":[94],"named":[96,109],"type":[97],"prediction":[98],"(i.e.,":[99],"determining":[100],"whether":[101],"sentence":[103],"includes":[104],"certain":[106],"kind":[107],"type),":[110],"to":[111,128,148],"supervise":[112],"feature":[114],"representation":[115],"globally.":[117],"We":[118],"conduct":[119],"experiments":[120],"on":[121,152],"six":[122],"benchmark":[123],"datasets":[124],"various":[126],"languages":[127],"evaluate":[129],"our":[130,136],"method.":[131],"The":[132],"results":[133,151],"show":[134],"that":[135],"final":[137],"model":[138],"highly":[140,149],"effective,":[141],"resulting":[142],"significant":[144],"improvements":[145],"leading":[147],"competitive":[150],"all":[153],"datasets.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
