{"id":"https://openalex.org/W4206800497","doi":"https://doi.org/10.1109/taslp.2021.3138680","title":"Uncertainty-Aware Sequence Labeling","display_name":"Uncertainty-Aware Sequence Labeling","publication_year":2021,"publication_date":"2021-12-28","ids":{"openalex":"https://openalex.org/W4206800497","doi":"https://doi.org/10.1109/taslp.2021.3138680"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2021.3138680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2021.3138680","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/A5082595922","display_name":"Jiacheng Ye","orcid":"https://orcid.org/0000-0003-0073-4170"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Ye","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0073-4170","affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101599156","display_name":"Xiang Zhou","orcid":"https://orcid.org/0000-0002-9181-5939"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhou","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017835517","display_name":"Xiaoqing Zheng","orcid":"https://orcid.org/0000-0003-4430-5036"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Zheng","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4430-5036","affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097765863","display_name":"Tao Gui","orcid":"https://orcid.org/0000-0002-0059-0210"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Gui","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0059-0210","affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100360407","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0003-0947-4942"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0947-4942","affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.1365,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57654196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"1775","last_page":"1788"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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":0.9976000189781189,"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":0.8313741683959961},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.7502883672714233},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.6867741346359253},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.663253903388977},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6316324472427368},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.48933857679367065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45737743377685547},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.423662006855011},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3329252004623413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3320504128932953},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.324459433555603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.286991685628891},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.2057919204235077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313741683959961},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.7502883672714233},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.6867741346359253},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.663253903388977},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6316324472427368},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.48933857679367065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45737743377685547},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.423662006855011},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3329252004623413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3320504128932953},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.324459433555603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.286991685628891},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2057919204235077},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2021.3138680","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2021.3138680","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G3471270673","display_name":null,"funder_award_id":"61976056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G655273820","display_name":null,"funder_award_id":"62076069","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":75,"referenced_works":["https://openalex.org/W601603264","https://openalex.org/W1502922572","https://openalex.org/W1516111018","https://openalex.org/W1522301498","https://openalex.org/W1544131626","https://openalex.org/W1940872118","https://openalex.org/W2004763266","https://openalex.org/W2064675550","https://openalex.org/W2101609803","https://openalex.org/W2111051539","https://openalex.org/W2117813082","https://openalex.org/W2121127625","https://openalex.org/W2144087279","https://openalex.org/W2144578941","https://openalex.org/W2145870108","https://openalex.org/W2165073960","https://openalex.org/W2251559320","https://openalex.org/W2251599843","https://openalex.org/W2296283641","https://openalex.org/W2461708311","https://openalex.org/W2727300753","https://openalex.org/W2752047430","https://openalex.org/W2756381707","https://openalex.org/W2769395616","https://openalex.org/W2808647726","https://openalex.org/W2896457183","https://openalex.org/W2904442979","https://openalex.org/W2949134692","https://openalex.org/W2949215742","https://openalex.org/W2952230511","https://openalex.org/W2962739339","https://openalex.org/W2962902328","https://openalex.org/W2962906565","https://openalex.org/W2962941447","https://openalex.org/W2963140597","https://openalex.org/W2963406669","https://openalex.org/W2963434219","https://openalex.org/W2963448850","https://openalex.org/W2963625095","https://openalex.org/W2964030506","https://openalex.org/W2964110616","https://openalex.org/W2964266863","https://openalex.org/W2970400306","https://openalex.org/W2972069753","https://openalex.org/W2983725648","https://openalex.org/W2997919746","https://openalex.org/W2998098272","https://openalex.org/W3034379414","https://openalex.org/W3099823079","https://openalex.org/W3102401511","https://openalex.org/W4320013820","https://openalex.org/W6607185345","https://openalex.org/W6618476874","https://openalex.org/W6621543089","https://openalex.org/W6630844130","https://openalex.org/W6631190155","https://openalex.org/W6636649193","https://openalex.org/W6640362995","https://openalex.org/W6679143118","https://openalex.org/W6682082992","https://openalex.org/W6682691769","https://openalex.org/W6683520681","https://openalex.org/W6683646425","https://openalex.org/W6683738474","https://openalex.org/W6684187845","https://openalex.org/W6688167117","https://openalex.org/W6739901393","https://openalex.org/W6740512805","https://openalex.org/W6745819962","https://openalex.org/W6748865747","https://openalex.org/W6751641251","https://openalex.org/W6752597651","https://openalex.org/W6764124961","https://openalex.org/W6767900179","https://openalex.org/W6792210918"],"related_works":["https://openalex.org/W2962906565","https://openalex.org/W2798423868","https://openalex.org/W3015678144","https://openalex.org/W2076440176","https://openalex.org/W2055466819","https://openalex.org/W2140585957","https://openalex.org/W2054134081","https://openalex.org/W2061027419","https://openalex.org/W1675450783","https://openalex.org/W189110383"],"abstract_inverted_index":{"Conditional":[0],"random":[1],"fields":[2],"(CRFs)":[3],"have":[4],"been":[5],"widely":[6],"used":[7,74,113],"for":[8],"sequence":[9,148,170],"labeling":[10,149,171],"tasks":[11],"in":[12,98],"the":[13,49,62,102,116,128,175],"field":[14],"of":[15,64,105,121,186],"natural":[16],"language":[17],"processing.":[18],"However,":[19],"how":[20],"to":[21,46,75,100,114,126,146],"model":[22,48,71,85,136],"both":[23,166],"local":[24],"and":[25,51,79,152,168],"global":[26],"dependencies":[27],"among":[28],"labels":[29,117],"is":[30,72,142],"not":[31],"well":[32],"solved":[33],"yet.":[34],"In":[35],"this":[36],"study,":[37],"we":[38],"introduce":[39],"a":[40,81,154],"novel":[41,82],"two-stage":[42],"label":[43,53,95,138,159,180],"decoding":[44,181],"method":[45,135,177],"better":[47],"short-":[50],"long-term":[52],"dependencies,":[54,139],"while":[55,183],"being":[56,122],"much":[57],"more":[58],"computationally":[59],"efficient":[60],"with":[61,118,158],"use":[63],"graphics":[65],"processing":[66],"units":[67],"(GPUs).":[68],"A":[69],"base":[70],"first":[73],"propose":[76],"draft":[77,90,107],"labels,":[78,108],"then":[80],"two-stream":[83],"self-attention":[84],"makes":[86],"refinements":[87],"on":[88,93,165,189],"these":[89],"predictions":[91],"based":[92],"long-range":[94],"dependencies.":[96],"Besides,":[97],"order":[99],"mitigate":[101,127],"side":[103],"effects":[104],"incorrect":[106],"Bayesian":[109],"neural":[110],"networks":[111],"are":[112],"indicate":[115],"high":[119],"probabilities":[120],"wrong,":[123],"which":[124],"helps":[125],"error":[129],"propagation.":[130],"Not":[131],"only":[132],"can":[133],"our":[134],"sentence-level":[137,167],"but":[140],"it":[141],"also":[143],"easily":[144],"extended":[145],"document-level":[147,169],"by":[150],"querying":[151],"storing":[153],"key-value":[155],"memory":[156],"matrix":[157],"co-occurrence":[160],"relationships.":[161],"The":[162],"experimental":[163],"results":[164],"benchmarks":[172],"show":[173],"that":[174],"proposed":[176],"outperforms":[178],"existing":[179],"methods":[182],"taking":[184],"advantage":[185],"parallel":[187],"computations":[188],"GPUs.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
