{"id":"https://openalex.org/W4376852303","doi":"https://doi.org/10.1145/3573942.3573969","title":"Prompt and Contrastive Learning for Few-shot Sentiment Classification","display_name":"Prompt and Contrastive Learning for Few-shot Sentiment Classification","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4376852303","doi":"https://doi.org/10.1145/3573942.3573969"},"language":"en","primary_location":{"id":"doi:10.1145/3573942.3573969","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573942.3573969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","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/A5103141262","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0001-9303-8726"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0001-9303-8726","affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102880401","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-4622-7959"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-4622-7959","affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045779416","display_name":"Xiaohua Huang","orcid":"https://orcid.org/0000-0002-3474-1611"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Huang","raw_affiliation_strings":["School of Information Science and Technology, Northwest University, China"],"raw_orcid":"https://orcid.org/0000-0002-3474-1611","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007403499","display_name":"Cai Xu","orcid":"https://orcid.org/0000-0002-7191-7348"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Xu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0002-7191-7348","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066877556","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0002-0622-9258"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0002-9767-1323","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065194313","display_name":"Ziyu Guan","orcid":"https://orcid.org/0000-0003-2413-4698"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Guan","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, China"],"raw_orcid":"https://orcid.org/0000-0003-2413-4698","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010362029","display_name":"Guangyue Lu","orcid":"https://orcid.org/0000-0002-3938-9207"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyue Lu","raw_affiliation_strings":["Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-3938-9207","affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Information Communication Network and Security, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5103141262"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19002061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"173","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.8566098213195801},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6249127388000488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6212667226791382},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5038248896598816},{"id":"https://openalex.org/keywords/upstream","display_name":"Upstream (networking)","score":0.5033859610557556},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49459001421928406},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.49321430921554565},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4737547039985657},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4312536418437958},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.41386646032333374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40288251638412476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8566098213195801},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6249127388000488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6212667226791382},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5038248896598816},{"id":"https://openalex.org/C191172861","wikidata":"https://www.wikidata.org/wiki/Q7899321","display_name":"Upstream (networking)","level":2,"score":0.5033859610557556},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49459001421928406},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.49321430921554565},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4737547039985657},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4312536418437958},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.41386646032333374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40288251638412476},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573942.3573969","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573942.3573969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2741358105","https://openalex.org/W2757016771","https://openalex.org/W2794259165","https://openalex.org/W3033350318","https://openalex.org/W6600669965","https://openalex.org/W6702248584"],"related_works":["https://openalex.org/W3098003361","https://openalex.org/W2130553454","https://openalex.org/W3022007134","https://openalex.org/W4317548404","https://openalex.org/W3104108945","https://openalex.org/W2033364610","https://openalex.org/W3163689946","https://openalex.org/W2797776314","https://openalex.org/W2153927146","https://openalex.org/W2091066410"],"abstract_inverted_index":{"Sentiment":[0],"classification":[1,15,83],"is":[2,40,73,124],"a":[3,21,35,41,80],"hot":[4],"topic":[5],"in":[6,59,103,164],"the":[7,45,49,53,60,96,113,121,128,139,142,165],"field":[8],"of":[9,48,98,134,141],"natural":[10],"language":[11,23,101],"processing.":[12],"Currently,":[13],"state-of-the-art":[14],"models":[16,102],"follow":[17],"two":[18,143],"steps:":[19],"pre-training":[20],"large":[22,42],"model":[24,51],"on":[25,86,154],"upstream":[26,46,116],"tasks,":[27,119],"and":[28,52,88,105,117,120,130],"then":[29],"using":[30],"human-labeled":[31],"data":[32,65,72],"to":[33,66,111,126,138],"fine-tune":[34],"task-related":[36],"model.":[37],"However,":[38],"there":[39],"gap":[43,114],"between":[44,115],"tasks":[47,55],"pre-trained":[50,100],"downstream":[54,118],"being":[56],"performed,":[57],"resulting":[58],"need":[61],"for":[62],"more":[63],"labeled":[64,135],"achieve":[67],"excellent":[68],"performance.":[69],"Manually":[70],"annotating":[71],"expensive.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"propose":[79],"few-shot":[81,166],"sentiment":[82],"method":[84,160],"based":[85],"Prompt":[87,108],"Contrastive":[89],"Learning":[90],"(PCL),":[91],"which":[92],"can":[93],"significantly":[94],"improve":[95],"performance":[97,163],"large-scale":[99],"low-data":[104],"high-data":[106],"regimes.":[107],"learning":[109,123],"aims":[110],"alleviate":[112],"contrastive":[122],"designed":[125],"capture":[127],"inter-class":[129],"intra-class":[131],"distribution":[132],"patterns":[133],"data.":[136],"Thanks":[137],"integration":[140],"strategies,":[144],"PCL":[145],"markedly":[146],"exceeds":[147],"baselines":[148],"with":[149],"low":[150],"resources.":[151],"Extensive":[152],"experiments":[153],"three":[155],"datasets":[156],"show":[157],"that":[158],"our":[159],"has":[161],"outstanding":[162],"settings.":[167]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}