{"id":"https://openalex.org/W3168909994","doi":"https://doi.org/10.1109/taslp.2021.3084105","title":"Corpus-Aware Graph Aggregation Network for Sequence Labeling","display_name":"Corpus-Aware Graph Aggregation Network for Sequence Labeling","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3168909994","doi":"https://doi.org/10.1109/taslp.2021.3084105","mag":"3168909994"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2021.3084105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2021.3084105","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/A5074648373","display_name":"Haibin Chen","orcid":"https://orcid.org/0000-0002-1039-1119"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haibin Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076609933","display_name":"Qianli Ma","orcid":"https://orcid.org/0000-0002-9356-2883"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianli Ma","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003018795","display_name":"Liuhong Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuhong Yu","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079618579","display_name":"Zhenxi Lin","orcid":"https://orcid.org/0000-0003-1264-6549"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenxi Lin","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001742109","display_name":"Jiangyue Yan","orcid":"https://orcid.org/0000-0002-9565-9873"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangyue Yan","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074648373"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61760064,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"2048","last_page":"2057"},"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":0.9998000264167786,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8500850796699524},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.6680907011032104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6421276926994324},{"id":"https://openalex.org/keywords/chunking","display_name":"Chunking (psychology)","score":0.6261031627655029},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6061540246009827},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5637792944908142},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.508302628993988},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5010857582092285},{"id":"https://openalex.org/keywords/word-order","display_name":"Word order","score":0.42611706256866455},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14971712231636047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07177045941352844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8500850796699524},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.6680907011032104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6421276926994324},{"id":"https://openalex.org/C203357204","wikidata":"https://www.wikidata.org/wiki/Q1089605","display_name":"Chunking (psychology)","level":2,"score":0.6261031627655029},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6061540246009827},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5637792944908142},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.508302628993988},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5010857582092285},{"id":"https://openalex.org/C70777604","wikidata":"https://www.wikidata.org/wiki/Q257885","display_name":"Word order","level":2,"score":0.42611706256866455},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14971712231636047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07177045941352844},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"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:10.1109/taslp.2021.3084105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2021.3084105","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":[],"awards":[{"id":"https://openalex.org/G2665390375","display_name":null,"funder_award_id":"2021A1515011496","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5364885889","display_name":null,"funder_award_id":"61872148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5433282299","display_name":null,"funder_award_id":"2017A030313355","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8220548088","display_name":null,"funder_award_id":"61502174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8500002199","display_name":null,"funder_award_id":"2019A1515010768","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1940872118","https://openalex.org/W2098921539","https://openalex.org/W2103076621","https://openalex.org/W2117813082","https://openalex.org/W2144578941","https://openalex.org/W2250263931","https://openalex.org/W2250539671","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2251900677","https://openalex.org/W2465978385","https://openalex.org/W2516255829","https://openalex.org/W2559281960","https://openalex.org/W2600702321","https://openalex.org/W2741986357","https://openalex.org/W2756381707","https://openalex.org/W2773174208","https://openalex.org/W2785787385","https://openalex.org/W2891602716","https://openalex.org/W2904442979","https://openalex.org/W2946558277","https://openalex.org/W2948155218","https://openalex.org/W2949861626","https://openalex.org/W2951299559","https://openalex.org/W2952087486","https://openalex.org/W2962676330","https://openalex.org/W2962739339","https://openalex.org/W2962902328","https://openalex.org/W2962941447","https://openalex.org/W2962946486","https://openalex.org/W2963140597","https://openalex.org/W2963240575","https://openalex.org/W2963264961","https://openalex.org/W2963341956","https://openalex.org/W2963369167","https://openalex.org/W2963497309","https://openalex.org/W2963563735","https://openalex.org/W2963619022","https://openalex.org/W2963625095","https://openalex.org/W2963912736","https://openalex.org/W2963971244","https://openalex.org/W2964185534","https://openalex.org/W2965510113","https://openalex.org/W2970400306","https://openalex.org/W2970509139","https://openalex.org/W2977494239","https://openalex.org/W2981547993","https://openalex.org/W2985056549","https://openalex.org/W2997919746","https://openalex.org/W2998098272","https://openalex.org/W3099823079","https://openalex.org/W3104990845","https://openalex.org/W3115095335","https://openalex.org/W3177049011","https://openalex.org/W4231510805","https://openalex.org/W4294635415","https://openalex.org/W6639619044","https://openalex.org/W6640362995","https://openalex.org/W6675366379","https://openalex.org/W6691664163","https://openalex.org/W6691829196","https://openalex.org/W6731878076","https://openalex.org/W6744233811","https://openalex.org/W6747143742","https://openalex.org/W6752324926","https://openalex.org/W6764124961","https://openalex.org/W6764288440","https://openalex.org/W6764685693","https://openalex.org/W6772356343","https://openalex.org/W6779489682","https://openalex.org/W6784025715","https://openalex.org/W6785344746"],"related_works":["https://openalex.org/W4302441680","https://openalex.org/W2170495237","https://openalex.org/W2609130030","https://openalex.org/W2963706742","https://openalex.org/W2952592458","https://openalex.org/W4289701088","https://openalex.org/W2886790750","https://openalex.org/W2020272874","https://openalex.org/W4300628203","https://openalex.org/W2610748790"],"abstract_inverted_index":{"Current":[0],"state-of-the-art":[1,159],"sequence":[2,58,133,140,148],"labeling":[3,141],"models":[4],"are":[5],"typically":[6],"based":[7,26],"on":[8,27,138],"sequential":[9,29,130],"architecture":[10],"such":[11],"as":[12,51],"Bi-directional":[13],"LSTM":[14],"(BiLSTM).":[15],"However,":[16],"the":[17,28,32,52,110],"structure":[18],"of":[19,35,75,95],"processing":[20],"a":[21,24,65,78,81,86,101,120],"word":[22,41,82,87],"at":[23],"time":[25],"order":[30],"restricts":[31],"full":[33],"utilization":[34],"non-sequential":[36,97,115,127],"features,":[37],"including":[38],"syntactic":[39,88],"relationships,":[40],"co-occurrence":[42,83],"relations,":[43],"and":[44,55,85,114,129,150],"document":[45],"topics.":[46],"They":[47],"can":[48],"be":[49],"regarded":[50],"corpus-level":[53,96],"features":[54,128],"critical":[56],"for":[57,132],"labeling.":[59,134],"In":[60],"this":[61],"paper,":[62],"we":[63,71,118],"propose":[64],"Corpus-Aware":[66],"Graph":[67],"Aggregation":[68],"Network.":[69],"Specifically,":[70],"build":[72],"three":[73],"types":[74],"graphs,":[76],"i.e.,":[77],"word-topic":[79],"graph,":[80,84,90],"dependency":[89],"to":[91,108,124],"express":[92],"different":[93],"kinds":[94],"features.":[98,116],"After":[99],"that,":[100],"graph":[102],"convolutional":[103],"network":[104],"(GCN)":[105],"is":[106],"adapted":[107],"model":[109,157],"relations":[111],"between":[112],"words":[113],"Finally,":[117],"employ":[119],"label-aware":[121],"attention":[122],"mechanism":[123],"aggregate":[125],"corpus-aware":[126],"ones":[131],"The":[135],"experimental":[136],"results":[137],"four":[139],"tasks":[142],"(named":[143],"entity":[144],"recognition,":[145],"chunking,":[146],"multilingual":[147],"labeling,":[149],"target-based":[151],"sentiment":[152],"analysis)":[153],"show":[154],"that":[155],"our":[156],"achieves":[158],"performance.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
