{"id":"https://openalex.org/W4400199057","doi":"https://doi.org/10.3390/info15070382","title":"MKDAT: Multi-Level Knowledge Distillation with Adaptive Temperature for Distantly Supervised Relation Extraction","display_name":"MKDAT: Multi-Level Knowledge Distillation with Adaptive Temperature for Distantly Supervised Relation Extraction","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4400199057","doi":"https://doi.org/10.3390/info15070382"},"language":"en","primary_location":{"id":"doi:10.3390/info15070382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15070382","pdf_url":"https://www.mdpi.com/2078-2489/15/7/382/pdf?version=1720774418","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/15/7/382/pdf?version=1720774418","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101607089","display_name":"Jun Long","orcid":"https://orcid.org/0000-0002-2773-1773"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Long","raw_affiliation_strings":["Big Data Institute, Central South University, Changsha 410075, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Big Data Institute, Central South University, Changsha 410075, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104340304","display_name":"Zhuoying Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoying Yin","raw_affiliation_strings":["Big Data Institute, Central South University, Changsha 410075, China","Guizhou Rural Credit Union, Guiyang 550000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Big Data Institute, Central South University, Changsha 410075, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Guizhou Rural Credit Union, Guiyang 550000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744850","display_name":"Han Yan","orcid":"https://orcid.org/0000-0002-6783-1103"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Han","raw_affiliation_strings":["School of Computer and Information Engineering, Guizhou University of Commerce, Guiyang 550025, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Guizhou University of Commerce, Guiyang 550025, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100785807","display_name":"Wenti Huang","orcid":"https://orcid.org/0000-0002-3216-3440"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenti Huang","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411100, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411100, China","institution_ids":["https://openalex.org/I121296143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100744850","https://openalex.org/A5100785807"],"corresponding_institution_ids":["https://openalex.org/I121296143","https://openalex.org/I178232147"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.972,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78936505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"15","issue":"7","first_page":"382","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9991000294685364,"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/T11719","display_name":"Data Quality and Management","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7356352806091309},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6884888410568237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6411983966827393},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5468643307685852},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.5246869921684265},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5093697309494019},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48169025778770447},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44938981533050537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3242107629776001},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.313845157623291},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08542260527610779},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.07725253701210022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7356352806091309},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6884888410568237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6411983966827393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5468643307685852},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.5246869921684265},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5093697309494019},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48169025778770447},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44938981533050537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3242107629776001},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.313845157623291},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08542260527610779},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.07725253701210022},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info15070382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15070382","pdf_url":"https://www.mdpi.com/2078-2489/15/7/382/pdf?version=1720774418","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:257d90e715954afcb8afb8e675d94a8c","is_oa":false,"landing_page_url":"https://doaj.org/article/257d90e715954afcb8afb8e675d94a8c","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 15, Iss 7, p 382 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info15070382","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info15070382","pdf_url":"https://www.mdpi.com/2078-2489/15/7/382/pdf?version=1720774418","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1461361138","display_name":null,"funder_award_id":"2024JJ6221","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G2594744562","display_name":null,"funder_award_id":"U2003208","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"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400199057.pdf","grobid_xml":"https://content.openalex.org/works/W4400199057.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W1604644367","https://openalex.org/W2094728533","https://openalex.org/W2107598941","https://openalex.org/W2250539671","https://openalex.org/W2251135946","https://openalex.org/W2592335154","https://openalex.org/W2741299133","https://openalex.org/W2759996146","https://openalex.org/W2760600531","https://openalex.org/W2788031953","https://openalex.org/W2822194211","https://openalex.org/W2890436498","https://openalex.org/W2901792515","https://openalex.org/W2905524128","https://openalex.org/W2919278763","https://openalex.org/W2931010691","https://openalex.org/W2951274974","https://openalex.org/W2952402849","https://openalex.org/W2981341912","https://openalex.org/W2989708666","https://openalex.org/W2998010813","https://openalex.org/W2998209348","https://openalex.org/W3017074538","https://openalex.org/W3091337181","https://openalex.org/W3114456282","https://openalex.org/W3124384256","https://openalex.org/W3134191546","https://openalex.org/W3158759505","https://openalex.org/W3161612389","https://openalex.org/W3175017152","https://openalex.org/W3176524032","https://openalex.org/W3182050702","https://openalex.org/W3204131821","https://openalex.org/W3210970217","https://openalex.org/W3213540893","https://openalex.org/W4205312114","https://openalex.org/W4205632227","https://openalex.org/W4225374436","https://openalex.org/W4309628338","https://openalex.org/W6751751081","https://openalex.org/W6806341523"],"related_works":["https://openalex.org/W842810586","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W2092919065","https://openalex.org/W3138801416","https://openalex.org/W4236762297","https://openalex.org/W2444550338","https://openalex.org/W2169232658","https://openalex.org/W2369351710","https://openalex.org/W2594363579"],"abstract_inverted_index":{"Distantly":[0],"supervised":[1],"relation":[2],"extraction":[3],"(DSRE),":[4],"first":[5],"used":[6],"to":[7,25,32,97,107],"address":[8,39],"the":[9,18,33,40,57,108,123,129,134,138,143,153,160,173,182,191],"limitations":[10],"of":[11,35,42,128,133,155],"manually":[12],"annotated":[13],"data":[14,19],"via":[15],"automatically":[16],"annotating":[17],"with":[20,73,118],"triplet":[21],"facts,":[22],"is":[23,114],"prone":[24],"issues":[26],"such":[27],"as":[28,131],"mislabeled":[29],"annotations":[30],"due":[31],"interference":[34,41],"noisy":[36,43,156],"annotations.":[37],"To":[38],"annotations,":[44],"we":[45,64,166],"leveraged":[46],"a":[47,66,103],"novel":[48],"knowledge":[49,127],"distillation":[50,95,188],"(KD)":[51],"method":[52],"which":[53,77,111,149],"was":[54],"different":[55,98],"from":[56],"conventional":[58],"models":[59,170,189,193],"on":[60,172,194],"DSRE.":[61],"More":[62],"specifically,":[63],"proposed":[65],"model-agnostic":[67],"KD":[68],"method,":[69],"Multi-Level":[70,87],"Knowledge":[71,88],"Distillation":[72],"Adaptive":[74,82],"Temperature":[75,83],"(MKDAT),":[76],"mainly":[78],"involves":[79],"two":[80],"modules:":[81],"Regulation":[84],"(ATR)":[85],"and":[86,125,136,140,145,158,176,181,196],"Distilling":[89],"(MKD).":[90],"ATR":[91],"allocates":[92],"adaptive":[93],"entropy-based":[94],"temperatures":[96],"training":[99],"instances":[100,117],"for":[101,116],"providing":[102],"moderate":[104],"softening":[105],"supervision":[106],"student,":[109,135],"in":[110],"label":[112],"hardening":[113],"possible":[115],"great":[119],"entropy.":[120],"MKD":[121],"combines":[122],"bag-level":[124,195],"instance-level":[126,197],"teacher":[130,139],"supervisions":[132],"trains":[137],"student":[141],"at":[142,151],"bag":[144],"instance":[146],"levels,":[147],"respectively,":[148,180],"aims":[150],"mitigating":[152],"effects":[154],"annotation":[157],"improving":[159],"sentence-level":[161],"prediction":[162],"performance.":[163],"In":[164],"addition,":[165],"implemented":[167],"three":[168],"MKDAT":[169],"based":[171],"CNN,":[174],"PCNN,":[175],"ATT-BiLSTM":[177],"neural":[178],"networks,":[179],"experimental":[183],"results":[184],"show":[185],"that":[186],"our":[187],"outperform":[190],"baseline":[192],"evaluations.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
