{"id":"https://openalex.org/W3175940427","doi":"https://doi.org/10.1109/icccs52626.2021.9449230","title":"A Multi-grained Attention Network for Multi-labeled Distant Supervision Relation Extraction","display_name":"A Multi-grained Attention Network for Multi-labeled Distant Supervision Relation Extraction","publication_year":2021,"publication_date":"2021-04-23","ids":{"openalex":"https://openalex.org/W3175940427","doi":"https://doi.org/10.1109/icccs52626.2021.9449230","mag":"3175940427"},"language":"en","primary_location":{"id":"doi:10.1109/icccs52626.2021.9449230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs52626.2021.9449230","pdf_url":null,"source":{"id":"https://openalex.org/S4306498809","display_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102006509","display_name":"Mingjie Tang","orcid":"https://orcid.org/0009-0008-5012-5035"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie Tang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014822993","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0003-0805-7928"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673830","display_name":"Hao Xu","orcid":"https://orcid.org/0000-0001-8224-1673"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Xu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07228049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"110","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.8205017447471619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8039547801017761},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.763879656791687},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6671531796455383},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5789064764976501},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5450487732887268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.53480064868927},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49521055817604065},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4566885232925415},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4325743317604065},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3489425778388977}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.8205017447471619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8039547801017761},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.763879656791687},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6671531796455383},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5789064764976501},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5450487732887268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53480064868927},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49521055817604065},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4566885232925415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4325743317604065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3489425778388977},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccs52626.2021.9449230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccs52626.2021.9449230","pdf_url":null,"source":{"id":"https://openalex.org/S4306498809","display_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1258292476","display_name":null,"funder_award_id":"61977013","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":22,"referenced_works":["https://openalex.org/W174427690","https://openalex.org/W1604644367","https://openalex.org/W1614298861","https://openalex.org/W2107598941","https://openalex.org/W2132679783","https://openalex.org/W2251135946","https://openalex.org/W2515462165","https://openalex.org/W2577666659","https://openalex.org/W2890299555","https://openalex.org/W2892316911","https://openalex.org/W2931010691","https://openalex.org/W2949922292","https://openalex.org/W2951525151","https://openalex.org/W2963691377","https://openalex.org/W2964168600","https://openalex.org/W2970218469","https://openalex.org/W3157597776","https://openalex.org/W6607091552","https://openalex.org/W6636510571","https://openalex.org/W6679781796","https://openalex.org/W6732352985","https://openalex.org/W6794497797"],"related_works":["https://openalex.org/W2976808399","https://openalex.org/W2609844752","https://openalex.org/W2805262146","https://openalex.org/W2981341912","https://openalex.org/W4385734297","https://openalex.org/W4221160509","https://openalex.org/W4285246823","https://openalex.org/W4226278302","https://openalex.org/W2547211086","https://openalex.org/W3114142812"],"abstract_inverted_index":{"Distant":[0],"supervision":[1,59,111],"is":[2,16,79],"an":[3],"efficient":[4],"approach":[5],"to":[6,48,66,104,128,133],"generate":[7],"labeled":[8],"data":[9],"automatically":[10],"for":[11,42,56,93],"relation":[12,35,39,60,94,112],"extraction":[13,61],"and":[14,36,132],"it":[15],"by":[17],"nature":[18],"a":[19,87,100,118],"multi-instance":[20],"multi-label":[21,130],"learning":[22],"issue.":[23],"However,":[24],"previous":[25],"methods":[26,55],"mainly":[27],"consider":[28],"that":[29],"each":[30],"sentence":[31],"explicitly":[32],"express":[33],"one":[34],"ignore":[37],"the":[38,68,73,77,106,123],"overlapping":[40,70,95],"problem":[41,108],"which":[43],"their":[44],"models":[45],"are":[46],"incompetent":[47],"capture":[49],"complete":[50],"context":[51],"features.":[52],"The":[53,114],"existing":[54],"multi-labeled":[57],"distant":[58,110],"incorporate":[62],"with":[63],"capsule":[64],"network":[65,92],"handle":[67,105],"highly":[69],"relations,":[71],"but":[72],"computational":[74],"complexity":[75],"of":[76,125],"model":[78],"too":[80],"high.":[81],"To":[82],"this":[83],"end,":[84],"we":[85,98],"propose":[86],"novel":[88],"multi-grained":[89],"attention":[90],"neural":[91],"problem.":[96,136],"Further,":[97],"devise":[99],"adaptive-class-balanced":[101],"loss":[102],"function":[103],"class-imbalanced":[107,135],"in":[109],"extraction.":[113],"experimental":[115],"results":[116],"on":[117],"widely":[119],"used":[120],"dataset":[121],"show":[122],"effectiveness":[124],"proposed":[126],"method":[127],"make":[129],"predictions":[131],"alleviate":[134]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
