{"id":"https://openalex.org/W4283700060","doi":"https://doi.org/10.1145/3477495.3531979","title":"Few-Shot Stance Detection via Target-Aware Prompt Distillation","display_name":"Few-Shot Stance Detection via Target-Aware Prompt Distillation","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4283700060","doi":"https://doi.org/10.1145/3477495.3531979"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531979","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477495.3531979","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477495.3531979","source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3477495.3531979","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083169022","display_name":"Yan Jiang","orcid":"https://orcid.org/0000-0003-4162-383X"},"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"]},{"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":false,"raw_author_name":"Yan Jiang","raw_affiliation_strings":["Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011303828","display_name":"Jinhua Gao","orcid":"https://orcid.org/0000-0003-4930-6580"},"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/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":"Jinhua Gao","raw_affiliation_strings":["Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047897879","display_name":"Huawei Shen","orcid":"https://orcid.org/0000-0002-1081-8119"},"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"]},{"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":false,"raw_author_name":"Huawei Shen","raw_affiliation_strings":["Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036544715","display_name":"Xueqi Cheng","orcid":"https://orcid.org/0009-0009-3990-4414"},"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"]},{"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":false,"raw_author_name":"Xueqi Cheng","raw_affiliation_strings":["CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Lab of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3857,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9563396,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"837","last_page":"847"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9991000294685364,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9976000189781189,"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":0.831771194934845},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7045096158981323},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6978031992912292},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.682063102722168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6312811374664307},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5392727851867676},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5278922319412231},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5169312357902527},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35904717445373535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.831771194934845},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7045096158981323},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6978031992912292},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.682063102722168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312811374664307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5392727851867676},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5278922319412231},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5169312357902527},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35904717445373535},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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:10.1145/3477495.3531979","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477495.3531979","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477495.3531979","source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2206.13214","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.13214","pdf_url":"https://arxiv.org/pdf/2206.13214","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3477495.3531979","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477495.3531979","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477495.3531979","source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"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":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2223385976","display_name":null,"funder_award_id":"62002347","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7095704223","display_name":null,"funder_award_id":"62002347, U21B2046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G740642855","display_name":null,"funder_award_id":"U21B2046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8361467185","display_name":null,"funder_award_id":"2020AAA0105200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283700060.pdf","grobid_xml":"https://content.openalex.org/works/W4283700060.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1563284214","https://openalex.org/W1821462560","https://openalex.org/W1967807490","https://openalex.org/W2118677368","https://openalex.org/W2150850338","https://openalex.org/W2460159515","https://openalex.org/W2463507823","https://openalex.org/W2472225127","https://openalex.org/W2610676001","https://openalex.org/W2750779823","https://openalex.org/W2791544114","https://openalex.org/W2792632295","https://openalex.org/W2804000423","https://openalex.org/W2805962188","https://openalex.org/W2884453613","https://openalex.org/W2890924154","https://openalex.org/W2896457183","https://openalex.org/W2950879740","https://openalex.org/W2962767317","https://openalex.org/W2965373594","https://openalex.org/W2967311303","https://openalex.org/W2970081744","https://openalex.org/W2970200208","https://openalex.org/W2970476646","https://openalex.org/W2971297872","https://openalex.org/W2980508402","https://openalex.org/W2982303655","https://openalex.org/W2996428491","https://openalex.org/W3011206034","https://openalex.org/W3035413677","https://openalex.org/W3082831834","https://openalex.org/W3125491592","https://openalex.org/W3153427360","https://openalex.org/W3154430186","https://openalex.org/W3167602185","https://openalex.org/W3172642864","https://openalex.org/W3173777717","https://openalex.org/W3175542874","https://openalex.org/W3196692796","https://openalex.org/W3199446690","https://openalex.org/W3208971629","https://openalex.org/W3215463462","https://openalex.org/W4200355004","https://openalex.org/W4205864287","https://openalex.org/W4206179798","https://openalex.org/W4233907442","https://openalex.org/W4297795751","https://openalex.org/W4297801719"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Stance":[0],"detection":[1,123],"aims":[2],"to":[3,18,92,139,148,167,184],"identify":[4],"whether":[5],"the":[6,34,38,44,52,65,75,106,115,119,153,158,161,164,169,186,195],"author":[7],"of":[8,25,40,43,78,118,135,172,198],"a":[9,19,131,140,149,178],"text":[10],"is":[11],"in":[12,121,202],"favor":[13],"of,":[14],"against,":[15],"or":[16,59],"neutral":[17],"given":[20],"target.":[21,165],"The":[22],"main":[23],"challenge":[24],"this":[26,71],"task":[27],"comes":[28],"two-fold:":[29],"few-shot":[30,88,110,206],"learning":[31,111],"resulting":[32],"from":[33,189],"varying":[35,175],"targets":[36,107,176],"and":[37,87,108,129,151,163,205],"lack":[39],"contextual":[41,103],"information":[42,104,187],"targets.":[45],"Existing":[46],"works":[47],"mainly":[48],"focus":[49],"on":[50],"solving":[51],"second":[53],"issue":[54,67],"by":[55,74],"designing":[56],"attention-based":[57],"models":[58,81],"introducing":[60],"noisy":[61],"external":[62],"knowledge,":[63],"while":[64],"first":[66],"remains":[68],"under-explored.":[69],"In":[70],"paper,":[72],"inspired":[73],"potential":[76],"capability":[77],"pre-trained":[79],"language":[80],"(PLMs)":[82],"serving":[83],"as":[84],"knowledge":[85],"bases":[86],"learners,":[89],"we":[90,125,182],"propose":[91,130,183],"introduce":[93],"prompt-based":[94],"fine-tuning":[95],"for":[96,105],"stance":[97,122,162],"detection.":[98],"PLMs":[99],"can":[100],"provide":[101],"essential":[102],"enable":[109],"via":[112],"prompts.":[113,191],"Considering":[114],"crucial":[116],"role":[117],"target":[120],"task,":[124],"design":[126],"target-aware":[127],"prompts":[128],"novel":[132],"verbalizer.":[133],"Instead":[134],"mapping":[136],"each":[137,146],"label":[138,147,154],"concrete":[141],"word,":[142],"our":[143,199],"verbalizer":[144],"maps":[145],"vector":[150],"picks":[152],"that":[155],"best":[156],"captures":[157],"correlation":[159],"between":[160],"Moreover,":[166],"alleviate":[168],"possible":[170],"defect":[171],"dealing":[173],"with":[174,177],"single":[179],"hand-crafted":[180],"prompt,":[181],"distill":[185],"learned":[188],"multiple":[190],"Experimental":[192],"results":[193],"show":[194],"superior":[196],"performance":[197],"proposed":[200],"model":[201],"both":[203],"full-data":[204],"scenarios.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9}],"updated_date":"2026-08-30T07:30:35.949966","created_date":"2025-10-10T00:00:00"}