{"id":"https://openalex.org/W3089706568","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206712","title":"Label Noise Robust Curriculum for Deep Paraphrase Identification","display_name":"Label Noise Robust Curriculum for Deep Paraphrase Identification","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089706568","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206712","mag":"3089706568"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5051235519","display_name":"Boxin Li","orcid":"https://orcid.org/0000-0003-0037-2392"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Boxin Li","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103214505","display_name":"Tingwen Liu","orcid":"https://orcid.org/0000-0003-0487-0751"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingwen Liu","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015829772","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0001-9760-8343"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Xiaomi AI Lab, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Xiaomi AI Lab, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443567","display_name":"Lihong Wang","orcid":"https://orcid.org/0000-0001-6818-7439"},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihong Wang","raw_affiliation_strings":["National Computer Network Emergency Response Technical Team Coordination Center of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Computer Network Emergency Response Technical Team Coordination Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210087772"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051235519"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73100039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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":0.9987999796867371,"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/paraphrase","display_name":"Paraphrase","score":0.9298064112663269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7653906345367432},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7431820034980774},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7105947732925415},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6194155216217041},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6120628714561462},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6044442653656006},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.5280227065086365},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.507911741733551},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45962417125701904},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44179201126098633},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41263440251350403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3569110035896301},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3291286826133728},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32433342933654785},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17821389436721802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08743321895599365},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06212097406387329}],"concepts":[{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.9298064112663269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7653906345367432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7431820034980774},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7105947732925415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6194155216217041},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6120628714561462},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6044442653656006},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.5280227065086365},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.507911741733551},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45962417125701904},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44179201126098633},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41263440251350403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3569110035896301},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3291286826133728},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32433342933654785},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17821389436721802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08743321895599365},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06212097406387329},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.800000011920929,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1866072925","https://openalex.org/W2045724293","https://openalex.org/W2100913937","https://openalex.org/W2107189314","https://openalex.org/W2124219775","https://openalex.org/W2132984949","https://openalex.org/W2143017621","https://openalex.org/W2250539671","https://openalex.org/W2256388387","https://openalex.org/W2284050935","https://openalex.org/W2296073425","https://openalex.org/W2494236530","https://openalex.org/W2593833795","https://openalex.org/W2608787653","https://openalex.org/W2612867916","https://openalex.org/W2752971446","https://openalex.org/W2803187616","https://openalex.org/W2808064329","https://openalex.org/W2876111955","https://openalex.org/W2885593519","https://openalex.org/W2896457183","https://openalex.org/W2930053232","https://openalex.org/W2953075226","https://openalex.org/W2955222834","https://openalex.org/W2963081269","https://openalex.org/W2963096987","https://openalex.org/W2963142369","https://openalex.org/W2963270153","https://openalex.org/W2963341956","https://openalex.org/W2963508788","https://openalex.org/W2963685250","https://openalex.org/W2963697299","https://openalex.org/W2963735582","https://openalex.org/W2963759070","https://openalex.org/W2963999980","https://openalex.org/W2964092386","https://openalex.org/W2964234160","https://openalex.org/W2964292098","https://openalex.org/W2964309657","https://openalex.org/W3137695714","https://openalex.org/W4244259635","https://openalex.org/W4288413741","https://openalex.org/W6639331287","https://openalex.org/W6675038308","https://openalex.org/W6679390333","https://openalex.org/W6695676441","https://openalex.org/W6736893582","https://openalex.org/W6740005241","https://openalex.org/W6743885473","https://openalex.org/W6747898760","https://openalex.org/W6751420435","https://openalex.org/W6751647823","https://openalex.org/W6753143414","https://openalex.org/W6753772092","https://openalex.org/W6755207826","https://openalex.org/W6760604271","https://openalex.org/W6763485134"],"related_works":["https://openalex.org/W191017350","https://openalex.org/W4206666510","https://openalex.org/W2018298289","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W3208304128","https://openalex.org/W2979433843"],"abstract_inverted_index":{"In":[0,70],"this":[1,71],"paper,":[2,72],"we":[3,73,110],"study":[4],"the":[5,114,117,126],"effect":[6],"of":[7,65,85,116,128,140,152],"label":[8,41,100,130,153,162],"noise":[9,42],"on":[10,53,62,105,144],"deep":[11,44,93,118,141],"learning":[12,20,78],"models":[13,94],"for":[14,43,95],"paraphrase":[15,96,119],"identification.":[16],"Curriculum":[17],"learning,":[18],"a":[19,75],"paradigm":[21],"that":[22,112],"learns":[23],"easy":[24],"samples":[25,86],"first":[26],"and":[27,56,87],"then":[28],"gradually":[29],"proceeds":[30],"with":[31,40,99],"hard":[32],"ones,":[33],"has":[34],"shown":[35],"excellent":[36],"results":[37],"in":[38],"dealing":[39],"neural":[45],"networks":[46,142],"(DNNs).":[47],"However,":[48],"most":[49],"previous":[50],"studies":[51],"focus":[52],"image":[54],"classification,":[55],"design":[57],"their":[58],"curriculum":[59,77],"only":[60],"based":[61,79],"training":[63,83],"losses":[64,84],"samples,":[66],"ignoring":[67],"domain-specific":[68,88],"knowledge.":[69],"propose":[74],"predefined":[76],"framework,":[80],"incorporating":[81],"both":[82],"knowledge,":[89],"to":[90],"train":[91],"robust":[92,164],"identification":[97,120],"(PI)":[98],"noise.":[101],"Through":[102],"extensive":[103],"experiments":[104],"two":[106],"popular":[107],"PI":[108],"benchmarks,":[109],"show":[111],"1)":[113],"performance":[115,139],"model":[121],"can":[122,135,158],"drop":[123],"sharply":[124],"at":[125,148],"case":[127],"severe":[129],"noise;":[131,154],"2)":[132],"our":[133,156],"approach":[134],"significantly":[136],"improve":[137],"generalization":[138],"trained":[143],"corrupted":[145],"data":[146],"especially":[147],"extremely":[149],"high":[150],"levels":[151],"3)":[155],"method":[157],"outperform":[159],"several":[160],"state-of-the-art":[161],"corruption":[163],"methods.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}