{"id":"https://openalex.org/W4224212929","doi":"https://doi.org/10.1145/3529954","title":"Few-shot Aspect Category Sentiment Analysis via Meta-learning","display_name":"Few-shot Aspect Category Sentiment Analysis via Meta-learning","publication_year":2022,"publication_date":"2022-04-22","ids":{"openalex":"https://openalex.org/W4224212929","doi":"https://doi.org/10.1145/3529954"},"language":"en","primary_location":{"id":"doi:10.1145/3529954","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529954","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5063075000","display_name":"Bin Liang","orcid":"https://orcid.org/0000-0001-7234-1347"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liang","raw_affiliation_strings":["Joint Lab of HITSZ-CMS, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7234-1347","affiliations":[{"raw_affiliation_string":"Joint Lab of HITSZ-CMS, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897074","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0003-4625-9942"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Joint Lab of HITSZ-CMS, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4625-9942","affiliations":[{"raw_affiliation_string":"Joint Lab of HITSZ-CMS, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062168574","display_name":"Lin Gui","orcid":"https://orcid.org/0000-0002-8054-9524"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lin Gui","raw_affiliation_strings":["University of Warwick, Coventry, UK"],"raw_orcid":"https://orcid.org/0000-0002-8054-9524","affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006111418","display_name":"Yonghao Fu","orcid":"https://orcid.org/0000-0003-2433-6708"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghao Fu","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2433-6708","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015709853","display_name":"Yulan He","orcid":"https://orcid.org/0000-0003-3948-5845"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yulan He","raw_affiliation_strings":["University of Warwick, Coventry, UK"],"raw_orcid":"https://orcid.org/0000-0003-3948-5845","affiliations":[{"raw_affiliation_string":"University of Warwick, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083369457","display_name":"Min Yang","orcid":"https://orcid.org/0000-0001-7345-5071"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Yang","raw_affiliation_strings":["SIAT, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7345-5071","affiliations":[{"raw_affiliation_string":"SIAT, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026719663","display_name":"Ruifeng Xu","orcid":"https://orcid.org/0000-0002-4009-5679"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Xu","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China and Peng Cheng Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4009-5679","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China and Peng Cheng Lab, Shenzhen, China","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1052,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.95967924,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"41","issue":"1","first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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":0.9969000220298767,"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":0.8551815748214722},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7217943668365479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6821224689483643},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6706451177597046},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6639924049377441},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5836796760559082},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.57715904712677},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.565574049949646},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5231165289878845},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5151530504226685},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.5022084712982178},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45256051421165466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38777026534080505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8551815748214722},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7217943668365479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6821224689483643},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6706451177597046},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6639924049377441},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5836796760559082},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.57715904712677},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.565574049949646},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5231165289878845},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5151530504226685},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.5022084712982178},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45256051421165466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38777026534080505},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3529954","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529954","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/03e90ef1-7996-4048-8c1e-1ae634496a1a","is_oa":false,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/03e90ef1-7996-4048-8c1e-1ae634496a1a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Liang, B, Li, X, Gui, L, Fu, Y, He, Y, Yang, M & Xu, R 2023, 'Few-shot Aspect Category Sentiment Analysis via Meta-learning', ACM TRANSACTIONS ON INFORMATION SYSTEMS, vol. 41, no. 1, 22. https://doi.org/10.1145/3529954","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G3746231740","display_name":null,"funder_award_id":"EP/T017112/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G37525218","display_name":null,"funder_award_id":"61876053, 62006062, 62176076, 61906185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G479915207","display_name":null,"funder_award_id":"EP/V020579/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6144807829","display_name":null,"funder_award_id":"EP/V020579/1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"},{"id":"https://openalex.org/G764773819","display_name":null,"funder_award_id":"KQTD20190929172835662","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G994179796","display_name":null,"funder_award_id":"EP/V048597/1, EP/T017112/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1502957213","https://openalex.org/W1602136775","https://openalex.org/W2063365570","https://openalex.org/W2064675550","https://openalex.org/W2081580037","https://openalex.org/W2126204609","https://openalex.org/W2145680191","https://openalex.org/W2250539671","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2252057809","https://openalex.org/W2489487449","https://openalex.org/W2561529111","https://openalex.org/W2594908799","https://openalex.org/W2599674900","https://openalex.org/W2606593809","https://openalex.org/W2607303097","https://openalex.org/W2612690371","https://openalex.org/W2771576526","https://openalex.org/W2892181857","https://openalex.org/W2899626049","https://openalex.org/W2911495555","https://openalex.org/W2911787226","https://openalex.org/W2914278227","https://openalex.org/W2944378183","https://openalex.org/W2951088751","https://openalex.org/W2952826391","https://openalex.org/W2981647022","https://openalex.org/W3034942609","https://openalex.org/W3035413677","https://openalex.org/W3035524453","https://openalex.org/W3099910226","https://openalex.org/W3100474067","https://openalex.org/W3104774463","https://openalex.org/W3105470358","https://openalex.org/W3113529090","https://openalex.org/W3119339920","https://openalex.org/W3139812857","https://openalex.org/W3169849687","https://openalex.org/W3172295205","https://openalex.org/W3173706378","https://openalex.org/W3183859557","https://openalex.org/W4212774754","https://openalex.org/W4238634189","https://openalex.org/W4238846128","https://openalex.org/W4239019441","https://openalex.org/W4242177601","https://openalex.org/W4242532623","https://openalex.org/W4248506559","https://openalex.org/W4250331344","https://openalex.org/W4294646197","https://openalex.org/W4295276204","https://openalex.org/W4365799947","https://openalex.org/W6717697761","https://openalex.org/W6750254146"],"related_works":["https://openalex.org/W2364529976","https://openalex.org/W4313149964","https://openalex.org/W2012503034","https://openalex.org/W2923978210","https://openalex.org/W2101717290","https://openalex.org/W3209984204","https://openalex.org/W2098697817","https://openalex.org/W4286593247","https://openalex.org/W2000379787","https://openalex.org/W103230005"],"abstract_inverted_index":{"Existing":[0],"aspect-based/category":[1],"sentiment":[2,11,70,80,157],"analysis":[3,71],"methods":[4],"have":[5],"shown":[6],"great":[7],"success":[8],"in":[9,17,37,57,114],"detecting":[10],"polarity":[12,81],"toward":[13,158],"a":[14,18,65,92,127,143,159],"given":[15,128,160],"aspect":[16,40,53,68,85,111,161],"sentence":[19,129,140],"with":[20,51,112,130,142],"supervised":[21],"learning,":[22],"where":[23],"the":[24,30,39,79,109,115,131,137,155,164,170,176,201,205],"training":[25,116],"and":[26,101],"inference":[27],"stages":[28],"share":[29],"same":[31],"pre-defined":[32],"set":[33],"of":[34,82,133,139],"aspects.":[35,187],"However,":[36],"practice,":[38],"categories":[41,54],"are":[42],"changing":[43],"rather":[44],"than":[45],"keeping":[46],"fixed":[47],"over":[48],"time.":[49],"Dealing":[50],"unseen":[52,84],"is":[55],"under-explored":[56],"existing":[58],"methods.":[59],"In":[60],"this":[61,88],"article,":[62],"we":[63,90,119,147,168],"formulate":[64],"new":[66],"few-shot":[67],"category":[69],"(FSACSA)":[72],"task,":[73],"which":[74],"aims":[75],"to":[76,107,153,162,174,181,183,185],"effectively":[77],"predict":[78],"previously":[83],"categories.":[86],"To":[87],"end,":[89],"propose":[91],"novel":[93,186],"Aspect-Focused":[94],"Meta-Learning":[95],"(AFML)":[96],"framework":[97,199],"that":[98,195],"constructs":[99],"aspect-aware":[100],"aspect-contrastive":[102],"representations":[103,141],"from":[104],"external":[105,134],"knowledge":[106],"match":[108],"target":[110],"aspects":[113],"set.":[117],"Concretely,":[118],"first":[120],"construct":[121],"two":[122],"auxiliary":[123],"contrastive":[124],"sentences":[125],"for":[126,204],"incorporation":[132],"knowledge,":[135],"enabling":[136],"learning":[138],"better":[144],"generalization.":[145],"Then,":[146],"devise":[148],"an":[149],"aspect-focused":[150],"induction":[151],"network":[152],"leverage":[154],"contextual":[156],"refine":[163],"label":[165],"vectors.":[166],"Furthermore,":[167],"employ":[169],"episode-based":[171],"meta-learning":[172],"algorithm":[173],"train":[175],"whole":[177],"network,":[178],"so":[179],"as":[180],"learn":[182],"generalize":[184],"Extensive":[188],"experiments":[189],"on":[190],"multiple":[191],"real-life":[192],"datasets":[193],"show":[194],"our":[196],"proposed":[197],"AFML":[198],"achieves":[200],"state-of-the-art":[202],"results":[203],"FSACSA":[206],"task.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
