{"id":"https://openalex.org/W4324144712","doi":"https://doi.org/10.1007/s40747-023-01018-2","title":"MixER: linear interpolation of latent space for entity resolution","display_name":"MixER: linear interpolation of latent space for entity resolution","publication_year":2023,"publication_date":"2023-03-14","ids":{"openalex":"https://openalex.org/W4324144712","doi":"https://doi.org/10.1007/s40747-023-01018-2"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-023-01018-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01018-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01018-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01018-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083598663","display_name":"Huaiguang Wu","orcid":"https://orcid.org/0000-0002-5339-1194"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huaiguang Wu","raw_affiliation_strings":["College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Kexue Avenue, Zhengzhou, 450066, Henan Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Kexue Avenue, Zhengzhou, 450066, Henan Province, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052633427","display_name":"Shuaichao Li","orcid":"https://orcid.org/0000-0002-2645-0398"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaichao Li","raw_affiliation_strings":["College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Kexue Avenue, Zhengzhou, 450066, Henan Province, China"],"raw_orcid":"https://orcid.org/0000-0002-2645-0398","affiliations":[{"raw_affiliation_string":"College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Kexue Avenue, Zhengzhou, 450066, Henan Province, China","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083598663"],"corresponding_institution_ids":["https://openalex.org/I23171815"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.2328,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8026573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"10","issue":"1","first_page":"3","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":1.0,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9794999957084656,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9767000079154968,"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/robustness","display_name":"Robustness (evolution)","score":0.824708878993988},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.658637523651123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6512775421142578},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5004217624664307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4892251491546631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4334591329097748},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4333319664001465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42782387137413025},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3766748607158661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3214922547340393},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20182734727859497},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10505133867263794},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0809868574142456}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.824708878993988},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.658637523651123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6512775421142578},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5004217624664307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4892251491546631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4334591329097748},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4333319664001465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42782387137413025},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3766748607158661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3214922547340393},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20182734727859497},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10505133867263794},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0809868574142456},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-023-01018-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01018-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01018-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9df37368cee74f039e7f51aef43b720d","is_oa":true,"landing_page_url":"https://doaj.org/article/9df37368cee74f039e7f51aef43b720d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 1, Pp 3-22 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-023-01018-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-023-01018-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-023-01018-2.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1254567773","display_name":null,"funder_award_id":"61672470","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"},{"id":"https://openalex.org/G4918395192","display_name":null,"funder_award_id":"61672470","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4324144712.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1559390933","https://openalex.org/W1591593356","https://openalex.org/W1964786778","https://openalex.org/W1964874140","https://openalex.org/W1968728075","https://openalex.org/W1981276685","https://openalex.org/W2002016471","https://openalex.org/W2009017316","https://openalex.org/W2014327223","https://openalex.org/W2034190452","https://openalex.org/W2055095649","https://openalex.org/W2056748234","https://openalex.org/W2067566391","https://openalex.org/W2073471108","https://openalex.org/W2105484782","https://openalex.org/W2112796928","https://openalex.org/W2143612262","https://openalex.org/W2145492473","https://openalex.org/W2148143831","https://openalex.org/W2151040995","https://openalex.org/W2154785834","https://openalex.org/W2164456230","https://openalex.org/W2546672044","https://openalex.org/W2551739211","https://openalex.org/W2765811365","https://openalex.org/W2798649495","https://openalex.org/W2907382309","https://openalex.org/W2919115771","https://openalex.org/W2951147191","https://openalex.org/W2962690088","https://openalex.org/W2971296908","https://openalex.org/W2992308087","https://openalex.org/W3004437239","https://openalex.org/W3011807731","https://openalex.org/W3014705052","https://openalex.org/W3029701880","https://openalex.org/W3035542229","https://openalex.org/W3101980583","https://openalex.org/W3106020963","https://openalex.org/W3123375411","https://openalex.org/W3135005580","https://openalex.org/W3155638005","https://openalex.org/W3175303557","https://openalex.org/W3209420330","https://openalex.org/W3209888570","https://openalex.org/W4235730356","https://openalex.org/W4241727697","https://openalex.org/W4254788633","https://openalex.org/W4307823382"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W2770593030"],"abstract_inverted_index":{"Abstract":[0],"Entity":[1],"resolution,":[2],"accurately":[3],"identifying":[4],"various":[5],"representations":[6],"of":[7,16,38,160],"the":[8,28,34,44,102,117,130,139,150,157,161,170,180],"same":[9],"real-world":[10],"entities,":[11],"is":[12,47,97,124],"a":[13],"crucial":[14],"part":[15],"data":[17,59,104,118,123,175],"integration":[18],"systems.":[19],"While":[20],"existing":[21],"learning-based":[22],"models":[23,29],"can":[24,66,154],"achieve":[25],"good":[26],"performance,":[27],"are":[30],"extremely":[31],"dependent":[32],"on":[33,101],"quantity":[35],"and":[36,79,177],"quality":[37],"training":[39,92,122],"data.":[40],"In":[41,127,144],"this":[42],"paper,":[43],"MixER":[45,54,111,131,171],"model":[46,96,112,132,172],"proposed":[48],"to":[49,71,88,105],"alleviate":[50],"these":[51],"problems.":[52],"The":[53,64,94,110,164],"utilizes":[55],"our":[56],"newly":[57,151],"designed":[58],"augmentation":[60],"method":[61],"called":[62],"EMix.":[63],"EMix":[65,153],"map":[67],"discrete":[68],"entity":[69,83],"records":[70,84],"continuous":[72],"latent":[73,86],"space":[74,87],"variables":[75],"(e.g.,":[76],"probability":[77],"distributions)":[78],"then":[80],"linearly":[81],"interpolate":[82],"in":[85,116],"generate":[89],"many":[90],"augmented":[91,103],"samples.":[93],"matching":[95,162],"further":[98],"optimized":[99],"based":[100],"strengthen":[106],"its":[107],"generalization":[108,158],"capability.":[109],"achieves":[113],"significant":[114],"strengths":[115],"sensitivity":[119,176],"experiments":[120,147],"when":[121,138],"below":[125],"50.":[126],"robustness":[128,178],"experiments,":[129],"presents":[133],"an":[134],"absolute":[135],"performance":[136],"advantage":[137],"label":[140],"noise":[141],"exceeds":[142],"20%.":[143],"addition,":[145],"ablation":[146],"demonstrate":[148],"that":[149,169],"developed":[152],"effectively":[155],"improve":[156],"ability":[159],"model.":[163],"overall":[165],"experimental":[166],"results":[167],"prove":[168],"exhibited":[173],"excellent":[174],"over":[179],"current":[181],"state-of-the-art":[182],"methods.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}