{"id":"https://openalex.org/W4386520597","doi":"https://doi.org/10.1145/3587716.3587726","title":"Distant supervision relation extraction of combination bag with hierarchical attention","display_name":"Distant supervision relation extraction of combination bag with hierarchical attention","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4386520597","doi":"https://doi.org/10.1145/3587716.3587726"},"language":"en","primary_location":{"id":"doi:10.1145/3587716.3587726","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3587716.3587726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Machine Learning and Computing","raw_type":"proceedings-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/A5059840138","display_name":"Haojia Xie","orcid":"https://orcid.org/0009-0005-4825-7889"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haojia Xie","raw_affiliation_strings":["Guangdong University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032362514","display_name":"Lianglun Cheng","orcid":"https://orcid.org/0000-0002-8213-041X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianglun Cheng","raw_affiliation_strings":["Guangdong University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059870411","display_name":"Jianfeng Deng","orcid":"https://orcid.org/0009-0007-7173-8490"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Deng","raw_affiliation_strings":["Guangdong University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348801","display_name":"Chong Chen","orcid":"https://orcid.org/0000-0003-2800-4647"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Cheng","raw_affiliation_strings":["Guangdong University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025318443","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-6907-4142"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["Guangdong University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059840138"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.1204,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41243854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9923999905586243,"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":0.6312198638916016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5687926411628723},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5424341559410095},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4749308228492737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3264777660369873},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24551334977149963},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.055093914270401}],"concepts":[{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6312198638916016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5687926411628723},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5424341559410095},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4749308228492737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3264777660369873},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24551334977149963},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.055093914270401},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3587716.3587726","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3587716.3587726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W174427690","https://openalex.org/W1604644367","https://openalex.org/W1607035479","https://openalex.org/W2132679783","https://openalex.org/W2251135946","https://openalex.org/W2515462165","https://openalex.org/W2604610161","https://openalex.org/W2759136286","https://openalex.org/W2759996146","https://openalex.org/W2793816688","https://openalex.org/W2891635683","https://openalex.org/W2905524128","https://openalex.org/W2917458986","https://openalex.org/W2971624451","https://openalex.org/W3008401931","https://openalex.org/W3012830400","https://openalex.org/W3022527060","https://openalex.org/W3085691101","https://openalex.org/W3159354137","https://openalex.org/W3175017152"],"related_works":["https://openalex.org/W2976808399","https://openalex.org/W2609844752","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","https://openalex.org/W4380551175"],"abstract_inverted_index":{"Nowadays,":[0],"most":[1],"advanced":[2],"methods":[3,170],"based":[4],"on":[5,151],"distant":[6,63,175],"supervision":[7],"relation":[8,60,172],"extraction":[9,61,173],"can":[10,131],"largely":[11],"reduce":[12],"the":[13,19,22,39,78,81,85,98,111,120,125,133,142,152,168],"cost":[14],"of":[15,24,41,124,135,141,145,167],"manual":[16],"annotation.":[17],"Despite":[18],"fact":[20],"that":[21,158],"reduction":[23],"noisy":[25],"effects":[26],"between":[27],"sentences":[28],"has":[29,35],"been":[30,36],"extensively":[31],"studied,":[32],"less":[33],"attention":[34,53,72],"paid":[37],"to":[38,74,97,100,103],"removal":[40],"inter-bag":[42,71],"noise.":[43],"To":[44],"address":[45],"this":[46,48,90],"issue,":[47],"paper":[49],"presents":[50],"a":[51,56,69,105],"selective":[52],"network":[54],"with":[55,162],"combination":[57,163],"bag":[58,82,86,91,126],"for":[59,77],"under":[62,174],"supervision.":[64,176],"First,":[65],"our":[66,159],"model":[67,130,161],"adopts":[68],"similarity-based":[70],"module":[73],"calculate":[75],"scores":[76],"bags":[79,137],"in":[80,89,171],"group.":[83,127],"Then":[84],"feature":[87,107,115,121],"vectors":[88],"group":[92],"are":[93],"incrementally":[94],"combined":[95,106,114],"according":[96],"highest":[99,112],"lowest":[101],"score":[102],"form":[104],"vector":[108,116,122],"set.":[109],"Finally,":[110],"scoring":[113],"is":[117],"used":[118],"as":[119],"representation":[123],"The":[128,148],"proposed":[129,160],"minimize":[132],"influence":[134],"noise":[136],"and":[138],"take":[139],"advantage":[140],"semantic":[143],"information":[144],"positive":[146],"bags.":[147],"experimental":[149],"results":[150],"New":[153],"York":[154],"Times":[155],"dataset":[156],"show":[157],"strategy":[164],"outperforms":[165],"some":[166],"state-of-the-art":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}