{"id":"https://openalex.org/W4372269248","doi":"https://doi.org/10.1109/icassp49357.2023.10096240","title":"A Contrastive Framework to Enhance Unsupervised Sentence Representation Learning","display_name":"A Contrastive Framework to Enhance Unsupervised Sentence Representation Learning","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372269248","doi":"https://doi.org/10.1109/icassp49357.2023.10096240"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5054811627","display_name":"Haoyang Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyang Ma","raw_affiliation_strings":["North China Institute of Computing Technology,Beijing,China","National University of Defense Technology, Hunan, China","North China Institute of Computing Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"National University of Defense Technology, Hunan, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"North China Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455066","display_name":"Zeyu Li","orcid":"https://orcid.org/0000-0002-3379-8456"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Li","raw_affiliation_strings":["Communication University of China,Beijing,China","Communication University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communication University of China,Beijing,China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101815817","display_name":"Hongyu Guo","orcid":"https://orcid.org/0000-0002-6969-5424"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Guo","raw_affiliation_strings":["North China Institute of Computing Technology,Beijing,China","North China Institute of Computing Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Institute of Computing Technology,Beijing,China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"North China Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7152496576309204},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.676053524017334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6581488847732544},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6187937259674072},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5554326176643372},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5513963103294373},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.48543649911880493},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.480922669172287},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4692003130912781},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4672408401966095},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4467657804489136},{"id":"https://openalex.org/keywords/repetition","display_name":"Repetition (rhetorical device)","score":0.44251957535743713},{"id":"https://openalex.org/keywords/synonym","display_name":"Synonym (taxonomy)","score":0.4164723753929138},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34228789806365967},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23599174618721008},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10440057516098022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152496576309204},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.676053524017334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6581488847732544},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6187937259674072},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5554326176643372},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5513963103294373},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.48543649911880493},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.480922669172287},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4692003130912781},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4672408401966095},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4467657804489136},{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.44251957535743713},{"id":"https://openalex.org/C173483453","wikidata":"https://www.wikidata.org/wiki/Q1040689","display_name":"Synonym (taxonomy)","level":3,"score":0.4164723753929138},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34228789806365967},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23599174618721008},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10440057516098022},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C157369684","wikidata":"https://www.wikidata.org/wiki/Q34740","display_name":"Genus","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2126400076","https://openalex.org/W2133458109","https://openalex.org/W2152180407","https://openalex.org/W2250790822","https://openalex.org/W2251861449","https://openalex.org/W2462305634","https://openalex.org/W2739351760","https://openalex.org/W2756946152","https://openalex.org/W2790235966","https://openalex.org/W2896457183","https://openalex.org/W2964245140","https://openalex.org/W2965373594","https://openalex.org/W2970641574","https://openalex.org/W2979826702","https://openalex.org/W3104033643","https://openalex.org/W3105747907","https://openalex.org/W3105816068","https://openalex.org/W3156636935","https://openalex.org/W3175362188","https://openalex.org/W3176047188","https://openalex.org/W3196790170","https://openalex.org/W4224313754","https://openalex.org/W4225385501","https://openalex.org/W6631190155","https://openalex.org/W6682338420","https://openalex.org/W6691303741","https://openalex.org/W6691695795","https://openalex.org/W6748452836","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6800553322"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W4223990875"],"abstract_inverted_index":{"Recently,":[0],"significant":[1],"progress":[2],"has":[3],"been":[4],"made":[5],"in":[6,25,141],"generating":[7],"high-quality":[8],"sentence":[9,66],"representations":[10],"through":[11],"contrastive":[12,60],"learning.":[13,68],"SimCSE-like":[14],"models":[15,35,140],"improve":[16,99],"the":[17,20,82,93,100,125],"uniformity":[18],"of":[19,84,95,102,127],"representation":[21,67,103],"space":[22],"by":[23,81,92],"pulling":[24],"positive":[26],"examples":[27],"and":[28,43,87],"pushing":[29],"out":[30],"negative":[31,88,129],"examples.":[32],"However,":[33],"these":[34,54],"often":[36],"suffer":[37],"from":[38],"semantic":[39,146],"monotonicity,":[40],"sampling":[41,113],"bias,":[42],"training":[44],"effect":[45],"dependent":[46],"on":[47,144],"batch":[48],"size.":[49],"In":[50],"order":[51],"to":[52,63,111,123],"solve":[53],"problems,":[55],"this":[56],"paper":[57],"proposes":[58],"a":[59,71,116],"framework":[61],"(CEUR)":[62],"enhance":[64],"unsupervised":[65],"CEUR":[69,105,119,136],"adopts":[70],"linguistic":[72],"knowledge-based":[73],"sample":[74],"augmentation":[75],"method.":[76],"Positive":[77],"samples":[78,89],"are":[79,90],"generated":[80,91],"method":[83,94,110],"synonym":[85],"repetition,":[86],"antonym":[96],"replacement.":[97],"To":[98],"consistency":[101],"space,":[104],"uses":[106,120],"an":[107],"instance":[108],"weighting":[109],"reduce":[112],"bias.":[114],"Going":[115],"step":[117],"further,":[118],"momentum":[121],"contrast":[122],"increase":[124],"number":[126],"trainable":[128],"samples.":[130],"Extensive":[131],"experimental":[132],"results":[133],"show":[134],"that":[135],"outperforms":[137],"existing":[138],"baseline":[139],"comprehensive":[142],"performance":[143],"seven":[145],"text":[147],"similarity":[148],"tasks.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
