{"id":"https://openalex.org/W4387849018","doi":"https://doi.org/10.1145/3583780.3615085","title":"Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection","display_name":"Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387849018","doi":"https://doi.org/10.1145/3583780.3615085"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","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/A5103012329","display_name":"Yepeng Sun","orcid":"https://orcid.org/0009-0005-9592-7646"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yepeng Sun","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0009-0005-9592-7646","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042594437","display_name":"Jicang Lu","orcid":"https://orcid.org/0000-0001-8665-0829"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jicang Lu","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0000-0001-8665-0829","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398677","display_name":"Ling Wang","orcid":"https://orcid.org/0000-0002-1903-8610"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling Wang","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0000-0002-1903-8610","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034064957","display_name":"Shunhang Li","orcid":"https://orcid.org/0009-0005-5942-0928"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shunhang Li","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0009-0005-5942-0928","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038900825","display_name":"Ningbo Huang","orcid":"https://orcid.org/0000-0003-1262-2360"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ningbo Huang","raw_affiliation_strings":["State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, China"],"raw_orcid":"https://orcid.org/0000-0003-1262-2360","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, Henan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2362","last_page":"2371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9990000128746033,"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":0.9983999729156494,"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":0.7506200671195984},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6531206369400024},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5779209136962891},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5437783002853394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5430573225021362},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4961572587490082},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45026400685310364},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4406493306159973},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4406243860721588},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.417577862739563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.387654572725296},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34685343503952026}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506200671195984},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6531206369400024},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5779209136962891},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5437783002853394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5430573225021362},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4961572587490082},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45026400685310364},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4406493306159973},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4406243860721588},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.417577862739563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.387654572725296},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34685343503952026},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6215334885","display_name":null,"funder_award_id":"222300420590","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1967807490","https://openalex.org/W2187250581","https://openalex.org/W2460159515","https://openalex.org/W2462365838","https://openalex.org/W2531563875","https://openalex.org/W2558412209","https://openalex.org/W2595551253","https://openalex.org/W2740887992","https://openalex.org/W2752262499","https://openalex.org/W2912083425","https://openalex.org/W2953327099","https://openalex.org/W2962767317","https://openalex.org/W2963749490","https://openalex.org/W2964230653","https://openalex.org/W2967311303","https://openalex.org/W2970081744","https://openalex.org/W2970100861","https://openalex.org/W2971297872","https://openalex.org/W2979144850","https://openalex.org/W3082831834","https://openalex.org/W3102551064","https://openalex.org/W3156636935","https://openalex.org/W3175542874","https://openalex.org/W3208971629","https://openalex.org/W3215463462","https://openalex.org/W4224311791","https://openalex.org/W4247924304","https://openalex.org/W4249142012","https://openalex.org/W4283700060","https://openalex.org/W4285114401","https://openalex.org/W4287812705","https://openalex.org/W4389519459","https://openalex.org/W6776700526"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2069592018","https://openalex.org/W2382997850","https://openalex.org/W2075740387","https://openalex.org/W2390968135","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2358990940"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,35,100,213],"stance":[3,48,193],"detection":[4],"is":[5],"to":[6,31,41,74,80,90,137,195],"automatically":[7],"recognize":[8],"the":[9,42,52,101,116,139,174,182,198,208,217],"author's":[10],"expressed":[11],"attitude":[12],"in":[13,181],"text":[14,56,120],"towards":[15,94],"a":[16,32,45,95,134,150,188],"given":[17],"target.":[18],"However,":[19],"social":[20],"media":[21],"users":[22,88],"often":[23],"express":[24],"themselves":[25],"briefly":[26],"and":[27,57,121,144,169,210],"implicitly,":[28],"which":[29,67],"leads":[30],"significant":[33],"number":[34],"comments":[36],"lacking":[37],"explicit":[38],"reference":[39],"information":[40,84],"target,":[43,58],"posing":[44],"challenge":[46],"for":[47,192],"detection.":[49],"To":[50],"address":[51],"missing":[53],"relationship":[54],"between":[55,119,142,176],"existing":[59],"studies":[60],"primarily":[61],"focus":[62],"on":[63,204],"incorporating":[64],"external":[65],"knowledge,":[66],"inevitably":[68],"introduces":[69],"noise":[70],"information.":[71],"In":[72,157],"contrast":[73],"their":[75,92],"work,":[76],"we":[77,113,132,160,186,200],"are":[78],"dedicated":[79],"mining":[81],"implicit":[82],"relational":[83],"within":[85],"data.":[86],"Typically,":[87],"tend":[89],"emphasize":[91],"attitudes":[93],"relevant":[96],"topic":[97,140,147],"or":[98],"aspect":[99],"target":[102,122],"while":[103,172],"concealing":[104],"others":[105],"when":[106],"expressing":[107],"opinions.":[108],"Motivated":[109],"by":[110],"this":[111,146,158],"phenomenon,":[112],"suggest":[114],"that":[115,165],"potential":[117],"correlation":[118],"can":[123,161],"be":[124],"learned":[125],"from":[126],"instances":[127],"with":[128,178],"similar":[129,167],"topics.":[130],"Therefore,":[131],"design":[133],"pretext":[135],"task":[136],"mine":[138],"associations":[141],"samples":[143,164,177],"model":[145],"association":[148],"as":[149],"dynamic":[151],"weight":[152],"introduced":[153],"into":[154],"contrastive":[155],"learning.":[156],"way,":[159],"selectively":[162],"cluster":[163],"have":[166],"topics":[168],"consistent":[170],"stances,":[171],"enlarging":[173],"gap":[175],"different":[179],"stances":[180],"feature":[183],"space.":[184],"Additionally,":[185],"propose":[187],"nearest-neighbor":[189],"prediction":[190],"mechanism":[191],"classification":[194],"better":[196],"utilize":[197],"features":[199],"constructed.":[201],"Our":[202],"experiments":[203],"two":[205],"datasets":[206],"demonstrate":[207],"advanced":[209],"generalization":[211],"ability":[212],"our":[214],"method,":[215],"yielding":[216],"state-of-the-art":[218],"results.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}