{"id":"https://openalex.org/W4200070673","doi":"https://doi.org/10.3233/jifs-219241","title":"An autoencoder-based representation for noise reduction in distant supervision of relation extraction","display_name":"An autoencoder-based representation for noise reduction in distant supervision of relation extraction","publication_year":2021,"publication_date":"2021-12-24","ids":{"openalex":"https://openalex.org/W4200070673","doi":"https://doi.org/10.3233/jifs-219241"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-219241","is_oa":true,"landing_page_url":"https://doi.org/10.3233/jifs-219241","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs219241?id=journal-of-intelligent-and-fuzzy-systems%2Fifs219241","source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs219241?id=journal-of-intelligent-and-fuzzy-systems%2Fifs219241","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035226259","display_name":"Juan-Luis Garc\u00eda-Mendoza","orcid":"https://orcid.org/0000-0002-8165-9661"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Juan-Luis Garc\u00eda-Mendoza","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053929522","display_name":"Luis Villase\u00f1or-Pineda","orcid":"https://orcid.org/0000-0003-1294-9128"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis Villase\u00f1or-Pineda","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052083259","display_name":"Felipe Orihuela\u2010Espina","orcid":"https://orcid.org/0000-0001-8963-7283"},"institutions":[{"id":"https://openalex.org/I39824353","display_name":"National Institute of Astrophysics, Optics and Electronics","ror":"https://ror.org/00bpmmc63","country_code":"MX","type":"facility","lineage":["https://openalex.org/I39824353"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Felipe Orihuela-Espina","raw_affiliation_strings":["Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Instituto Nacional de Astrof\u00edsica, \u00d3ptica y Electr\u00f3nica (INAOE), Puebla, M\u00e9xico","institution_ids":["https://openalex.org/I39824353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024559982","display_name":"L\u00e1zaro Bustio-Mart\u00ednez","orcid":"https://orcid.org/0000-0002-0273-0520"},"institutions":[{"id":"https://openalex.org/I205571821","display_name":"Ibero American University","ror":"https://ror.org/05vss7635","country_code":"MX","type":"education","lineage":["https://openalex.org/I205571821"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"L\u00e1zaro Bustio-Mart\u00ednez","raw_affiliation_strings":["Universidad Iberoamericana, DEII, Prolongaci\u00f3n Paseo de Reforma 880, 01219, CDMX, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Universidad Iberoamericana, DEII, Prolongaci\u00f3n Paseo de Reforma 880, 01219, CDMX, M\u00e9xico","institution_ids":["https://openalex.org/I205571821"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035226259"],"corresponding_institution_ids":["https://openalex.org/I39824353"],"apc_list":null,"apc_paid":null,"fwci":0.4079,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69952215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"42","issue":"5","first_page":"4523","last_page":"4529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998999834060669,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9998999834060669,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9970999956130981,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9947999715805054,"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":0.7809759974479675},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6874470114707947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6620626449584961},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6422387957572937},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6359396576881409},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6276909112930298},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5620729923248291},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4954723119735718},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4636140465736389},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4520246982574463},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.45123156905174255},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4410475492477417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32941216230392456},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2761707305908203},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26444852352142334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07243850827217102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7809759974479675},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6874470114707947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6620626449584961},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6422387957572937},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6359396576881409},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6276909112930298},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5620729923248291},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4954723119735718},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4636140465736389},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4520246982574463},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.45123156905174255},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4410475492477417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32941216230392456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2761707305908203},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26444852352142334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07243850827217102},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/jifs-219241","is_oa":true,"landing_page_url":"https://doi.org/10.3233/jifs-219241","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs219241?id=journal-of-intelligent-and-fuzzy-systems%2Fifs219241","source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/5f927474-620f-4a4c-aec4-90b2be8aa20f","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/5f927474-620f-4a4c-aec4-90b2be8aa20f","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Garc\u00eda-Mendoza, J L, Villase\u00f1or-Pineda, L, Orihuela-Espina, F & Bustio-Mart\u00ednez, L 2022, 'An autoencoder-based representation for noise reduction in distant supervision of relation extraction', Journal of Intelligent and Fuzzy Systems, vol. 42, no. 5, pp. 4523-4529. https://doi.org/10.3233/JIFS-219241","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:publications/5f927474-620f-4a4c-aec4-90b2be8aa20f","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85128216795&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"doi:10.3233/jifs-219241","is_oa":true,"landing_page_url":"https://doi.org/10.3233/jifs-219241","pdf_url":"https://content.iospress.com:443/download/journal-of-intelligent-and-fuzzy-systems/ifs219241?id=journal-of-intelligent-and-fuzzy-systems%2Fifs219241","source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"},{"id":"https://openalex.org/F4320334834","display_name":"Centro de Investigaci\u00f3n Cient\u00edfica y de Educaci\u00f3n Superior de Ensenada, Baja California","ror":"https://ror.org/059ex5q34"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200070673.pdf","grobid_xml":"https://content.openalex.org/works/W4200070673.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1604644367","https://openalex.org/W1666942233","https://openalex.org/W2107598941","https://openalex.org/W2121044470","https://openalex.org/W2159901481","https://openalex.org/W2167460663","https://openalex.org/W2215206286","https://openalex.org/W2250473257","https://openalex.org/W2251135946","https://openalex.org/W2515462165","https://openalex.org/W2889029893","https://openalex.org/W2891177506","https://openalex.org/W2891417293","https://openalex.org/W2901387348","https://openalex.org/W2931010691","https://openalex.org/W2973088264","https://openalex.org/W3040266635","https://openalex.org/W6948268659"],"related_works":["https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W4220775285","https://openalex.org/W2776466379","https://openalex.org/W2897995864","https://openalex.org/W2572600474","https://openalex.org/W2592385986","https://openalex.org/W4313887253","https://openalex.org/W2972781078","https://openalex.org/W4221015625"],"abstract_inverted_index":{"Distant":[0,94],"Supervision":[1],"is":[2,26,65],"an":[3,43,80],"approach":[4,12,83,176],"that":[5,89,114],"allows":[6,90],"automatic":[7],"labeling":[8],"of":[9,23,141,154,162],"instances.":[10,157],"This":[11,77,158],"has":[13],"been":[14],"used":[15],"in":[16,36,49,93,115,139],"Relation":[17],"Extraction.":[18],"Still,":[19],"the":[20,50,68,73,103,116,119,125,134,142,145,155,160,174,178,183,188],"main":[21],"challenge":[22],"this":[24,53,71],"task":[25],"handling":[27],"instances":[28,132,190],"with":[29,42],"noisy":[30],"labels":[31],"(e.g.,":[32],"when":[33],"two":[34],"entities":[35],"a":[37,61,86],"sentence":[38],"are":[39,128],"automatically":[40],"labeled":[41],"invalid":[44],"relation).":[45],"The":[46,96],"approaches":[47],"reported":[48],"literature":[51],"addressed":[52],"problem":[54],"by":[55],"employing":[56],"noise-tolerant":[57],"classifiers.":[58],"However,":[59],"if":[60],"noise":[62,91,171],"reduction":[63,92],"stage":[64],"introduced":[66],"before":[67],"classification":[69],"step,":[70],"increases":[72],"macro":[74,120,146,179],"precision":[75,121,147,180],"values.":[76],"paper":[78],"proposes":[79],"Adversarial":[81,100,164],"Autoencoders-based":[82],"for":[84,170,192],"obtaining":[85],"new":[87],"representation":[88,97],"Supervision.":[95],"obtained":[98,123],"using":[99,130,152,163],"Autoencoders":[101,165],"minimize":[102],"intra-cluster":[104],"distance":[105],"concerning":[106,182],"pre-trained":[107],"embeddings":[108],"and":[109,186],"classic":[110],"Autoencoders.":[111],"Experiments":[112],"demonstrated":[113],"noise-reduced":[117,143],"datasets,":[118,144],"values":[122,181],"over":[124],"original":[126,156,184],"dataset":[127,185],"similar":[129],"fewer":[131],"considering":[133],"same":[135],"classifier.":[136],"For":[137],"example,":[138],"one":[140],"was":[148],"improved":[149],"approximately":[150],"2.32%":[151],"77%":[153],"suggests":[159],"validity":[161],"to":[166],"obtain":[167],"well-suited":[168],"representations":[169],"reduction.":[172],"Also,":[173],"proposed":[175],"maintains":[177],"reduces":[187],"total":[189],"needed":[191],"classification.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}