{"id":"https://openalex.org/W4366722841","doi":"https://doi.org/10.1109/access.2023.3269304","title":"Improving Non-Negative Positive-Unlabeled Learning for News Headline Classification","display_name":"Improving Non-Negative Positive-Unlabeled Learning for News Headline Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4366722841","doi":"https://doi.org/10.1109/access.2023.3269304"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3269304","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3269304","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10106254.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10106254.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030607091","display_name":"Zhanlin Ji","orcid":"https://orcid.org/0000-0003-3527-3773"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]},{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["CN","IE"],"is_corresponding":false,"raw_author_name":"Zhanlin Ji","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","Telecommunications Research Centre (TRC), University of Limerick, Limerick, Ireland"],"raw_orcid":"https://orcid.org/0000-0003-3527-3773","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]},{"raw_affiliation_string":"Telecommunications Research Centre (TRC), University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077038082","display_name":"Chengyuan Du","orcid":null},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyuan Du","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075127120","display_name":"Jiawen Jiang","orcid":"https://orcid.org/0000-0002-6561-7242"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawen Jiang","raw_affiliation_strings":["College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012891207","display_name":"Li Zhao","orcid":"https://orcid.org/0000-0003-4933-3183"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhao","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392409","display_name":"Haiyang Zhang","orcid":"https://orcid.org/0000-0002-3025-9609"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Zhang","raw_affiliation_strings":["Department of Computing, Xi&#x2019;an Jiaotong--Liverpool University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing, Xi&#x2019;an Jiaotong--Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002555209","display_name":"\u0418\u0432\u0430\u043d \u0413\u0430\u043d\u0447\u0435\u0432","orcid":"https://orcid.org/0000-0003-0535-7087"},"institutions":[{"id":"https://openalex.org/I192878625","display_name":"Plovdiv University","ror":"https://ror.org/0545p3742","country_code":"BG","type":"education","lineage":["https://openalex.org/I192878625"]},{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["BG","IE"],"is_corresponding":false,"raw_author_name":"Ivan Ganchev","raw_affiliation_strings":["Telecommunications Research Centre (TRC), University of Limerick, Limerick, Ireland","Department of Computer Systems, University of Plovdiv \"Paisii Hilendarski\", Plovdiv, Bulgaria"],"raw_orcid":"https://orcid.org/0000-0003-0535-7087","affiliations":[{"raw_affiliation_string":"Telecommunications Research Centre (TRC), University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]},{"raw_affiliation_string":"Department of Computer Systems, University of Plovdiv \"Paisii Hilendarski\", Plovdiv, Bulgaria","institution_ids":["https://openalex.org/I192878625"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3053,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83739169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"40192","last_page":"40203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9940999746322632,"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":0.9940999746322632,"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":0.991599977016449,"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":0.9883000254631042,"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/headline","display_name":"Headline","score":0.8041780591011047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7324810028076172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4805753231048584},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35908976197242737}],"concepts":[{"id":"https://openalex.org/C2778689934","wikidata":"https://www.wikidata.org/wiki/Q1313396","display_name":"Headline","level":2,"score":0.8041780591011047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324810028076172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4805753231048584},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35908976197242737},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/access.2023.3269304","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3269304","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10106254.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:bpos.bg:75013","is_oa":true,"landing_page_url":"http://hdl.handle.net/10525/5937","pdf_url":null,"source":{"id":"https://openalex.org/S7407055231","display_name":"Bulgarian Portal for Open Science","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"other"},{"id":"pmh:oai:doaj.org/article:e0743afb32f34f1f9d046c0b33f00266","is_oa":true,"landing_page_url":"https://doaj.org/article/e0743afb32f34f1f9d046c0b33f00266","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 40192-40203 (2023)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/22760591","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Improving_non-negative_positive-unlabeled_learning_for_news_headline_classification/22760591","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.34961/researchrepository-ul.22760591.v1","is_oa":true,"landing_page_url":"https://doi.org/10.34961/researchrepository-ul.22760591.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401529","display_name":"University of Limerick Institutional Repository (University of Limerick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I230495080","host_organization_name":"University of Limerick","host_organization_lineage":["https://openalex.org/I230495080"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3269304","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3269304","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10106254.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2322810405","display_name":null,"funder_award_id":"2017YFE0135700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6870533126","display_name":null,"funder_award_id":"2014-2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320862","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366722841.pdf","grobid_xml":"https://content.openalex.org/works/W4366722841.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1596717185","https://openalex.org/W1825821140","https://openalex.org/W1832693441","https://openalex.org/W1861993554","https://openalex.org/W1879966306","https://openalex.org/W2077373870","https://openalex.org/W2101571195","https://openalex.org/W2120615054","https://openalex.org/W2132442585","https://openalex.org/W2134510195","https://openalex.org/W2251189452","https://openalex.org/W2265846598","https://openalex.org/W2407776548","https://openalex.org/W2740721704","https://openalex.org/W2899867782","https://openalex.org/W2950787360","https://openalex.org/W2952370363","https://openalex.org/W2959332346","https://openalex.org/W2963341628","https://openalex.org/W2963351448","https://openalex.org/W2963355447","https://openalex.org/W2963404486","https://openalex.org/W2963626623","https://openalex.org/W2963823140","https://openalex.org/W2964159205","https://openalex.org/W2964331270","https://openalex.org/W3003787189","https://openalex.org/W3017003177","https://openalex.org/W3035204084","https://openalex.org/W3176855506","https://openalex.org/W3184000894","https://openalex.org/W4288333985","https://openalex.org/W4298005857","https://openalex.org/W4385245566","https://openalex.org/W6639301165","https://openalex.org/W6639315830","https://openalex.org/W6663074147","https://openalex.org/W6674800254","https://openalex.org/W6713582272","https://openalex.org/W6717319918","https://openalex.org/W6719819555","https://openalex.org/W6734384760","https://openalex.org/W6739901393","https://openalex.org/W6762572962","https://openalex.org/W6764192614","https://openalex.org/W6774529069","https://openalex.org/W6776215604","https://openalex.org/W6779411778"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"With":[0],"the":[1,23,65,71,74,98,103,105,109,120,126,146,195,198,207,214],"development":[2],"of":[3,31,49,60,67,73,112,125,156,161,173,186,238],"Internet":[4],"technology,":[5],"network":[6],"platforms":[7],"have":[8],"gradually":[9],"become":[10],"a":[11,28,58,82,153,218,235],"tool":[12],"for":[13,92,129,145,179,229],"people":[14],"to":[15,20,37,52,101,150,164],"obtain":[16],"hot":[17,25],"news.":[18],"How":[19],"filter":[21],"out":[22],"current":[24],"news":[26,32,50,93],"from":[27],"large":[29,130],"number":[30,155,237],"collections":[33],"and":[34,62,114,224],"push":[35],"them":[36],"users":[38],"has":[39],"important":[40],"application":[41],"value.":[42],"In":[43,216],"supervised":[44],"learning":[45],"scenarios,":[46],"each":[47],"piece":[48],"needs":[51],"be":[53],"labeled":[54,239],"manually,":[55],"which":[56,96,242],"takes":[57],"lot":[59],"time":[61],"effort.":[63],"From":[64],"perspective":[66],"semi-supervised":[68],"learning,":[69,78],"on":[70,176],"basis":[72],"non-negative":[75],"Positive-Unlabeled":[76],"(nnPU)":[77],"this":[79],"paper":[80],"proposes":[81],"novel":[83],"algorithm,":[84,140],"called":[85,141],"\u2019Enhanced":[86],"nnPU":[87,107],"with":[88],"Focal":[89,99],"Loss\u2019":[90],"(FLPU),":[91],"headline":[94],"classification,":[95],"uses":[97],"Loss":[100],"replace":[102],"way":[104],"classical":[106],"calculates":[108],"empirical":[110],"risk":[111],"positive":[113,157,240],"negative":[115],"samples.":[116,158],"Then,":[117],"by":[118,171,194],"introducing":[119],"Virtual":[121],"Adversarial":[122,127],"Training":[123],"(VAT)":[124],"training":[128],"neural":[131],"LangUage":[132],"Models":[133],"(ALUM)":[134],"into":[135],"FLPU,":[136],"another":[137,184],"(and":[138],"better)":[139],"\u2019FLPU+ALUM\u2019,":[142],"is":[143,169,189,222,243],"proposed":[144,196,225],"same":[147],"purpose,":[148],"aiming":[149],"label":[151],"only":[152,234],"small":[154,236],"The":[159],"superiority":[160],"both":[162],"algorithms":[163,167],"state-of-the-art":[165,208],"PU":[166],"considered":[168],"demonstrated":[170],"means":[172],"experiments,":[174,187],"conducted":[175],"two":[177],"datasets":[178],"performance":[180,205],"comparison.":[181,215],"Moreover,":[182],"through":[183],"set":[185],"it":[188],"shown":[190],"that,":[191],"if":[192],"enriched":[193],"algorithms,":[197],"RoBERTa-wwm-ext":[199],"model":[200],"can":[201],"achieve":[202],"better":[203],"classification":[204,210],"than":[206],"binary":[209],"models":[211],"included":[212],"in":[213,231],"addition,":[217],"\u2019Ratio":[219],"Batch\u2019":[220],"method":[221],"elaborated":[223],"as":[226],"more":[227],"stable":[228],"use":[230],"scenarios":[232],"involving":[233],"samples,":[241],"also":[244],"experimentally":[245],"demonstrated.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
