{"id":"https://openalex.org/W3154430186","doi":"https://doi.org/10.1145/3442381.3449790","title":"Target-adaptive Graph for Cross-target Stance Detection","display_name":"Target-adaptive Graph for Cross-target Stance Detection","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3154430186","doi":"https://doi.org/10.1145/3442381.3449790","mag":"3154430186"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449790","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449790","pdf_url":null,"source":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449790","any_repository_has_fulltext":null},"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":["Harbin Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"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, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, 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, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Warwick, United Kingdom","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/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":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101733762","display_name":"Jiachen Du","orcid":"https://orcid.org/0000-0002-6284-7691"},"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":"Jiachen Du","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen), China"],"raw_orcid":null,"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, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Warwick, United Kingdom","institution_ids":["https://openalex.org/I39555362"]}]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Xu","raw_affiliation_strings":["Harbin Institute of Technology (Shenzhen), China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology (Shenzhen), China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.4716,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.97955717,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3453","last_page":"3464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9952999949455261,"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":0.7880392074584961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6176842451095581},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6080228090286255},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5191742181777954},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5142042636871338},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43916380405426025},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.414529412984848},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3782336711883545},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2513922452926636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880392074584961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6176842451095581},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6080228090286255},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5191742181777954},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5142042636871338},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43916380405426025},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.414529412984848},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3782336711883545},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2513922452926636}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3442381.3449790","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449790","pdf_url":null,"source":null,"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 Web Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:149336","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449790","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449790","pdf_url":null,"source":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G1395496203","display_name":null,"funder_award_id":"2020M670912","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1750129325","display_name":null,"funder_award_id":"2019A1515011705","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2577708131","display_name":"Turing AI Fellowship: Event-Centric Framework for Natural Language Understanding","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/G2753377255","display_name":null,"funder_award_id":"62006062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G3937548296","display_name":null,"funder_award_id":"EP/V048597/1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4165806713","display_name":null,"funder_award_id":"61632011","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/G5188792329","display_name":null,"funder_award_id":"EP/V020579/1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6114143109","display_name":null,"funder_award_id":"61876053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G6170911682","display_name":null,"funder_award_id":"EP/T017112/1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"},{"id":"https://openalex.org/G6724480515","display_name":null,"funder_award_id":"EP/T017112/1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7089045715","display_name":"Learning from COVID-19: An AI-enabled evidence-driven framework for claim veracity assessment during pandemics","funder_award_id":"EP/V048597/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8184334423","display_name":null,"funder_award_id":"EP/V048597/1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"},{"id":"https://openalex.org/G8557909729","display_name":"Twenty20Insight","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/G8777962889","display_name":null,"funder_award_id":"2019A1515011705","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2098420572","https://openalex.org/W2250539671","https://openalex.org/W2460159515","https://openalex.org/W2519887557","https://openalex.org/W2562607067","https://openalex.org/W2565166462","https://openalex.org/W2578446670","https://openalex.org/W2612298612","https://openalex.org/W2735017898","https://openalex.org/W2750779823","https://openalex.org/W2767329425","https://openalex.org/W2798269087","https://openalex.org/W2798491376","https://openalex.org/W2869686875","https://openalex.org/W2892094955","https://openalex.org/W2907492528","https://openalex.org/W2909848263","https://openalex.org/W2952595356","https://openalex.org/W2953873732","https://openalex.org/W2962707223","https://openalex.org/W2962755817","https://openalex.org/W2962795929","https://openalex.org/W2962946486","https://openalex.org/W2963341956","https://openalex.org/W2963811339","https://openalex.org/W2963961878","https://openalex.org/W2970323499","https://openalex.org/W2970929006","https://openalex.org/W2971220558","https://openalex.org/W2997162759","https://openalex.org/W3017402509","https://openalex.org/W3023246666","https://openalex.org/W3034524234","https://openalex.org/W3034871396","https://openalex.org/W3035136297","https://openalex.org/W3035238981","https://openalex.org/W3035413677","https://openalex.org/W3035529900","https://openalex.org/W3035568641","https://openalex.org/W3035740499","https://openalex.org/W3099233101","https://openalex.org/W4210257598","https://openalex.org/W4365799947"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W4231274751","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W2571255492","https://openalex.org/W1566995892"],"abstract_inverted_index":{"Target":[0],"plays":[1,72],"an":[2,9,43,49,154],"essential":[3],"role":[4],"in":[5,16,33,79,199],"stance":[6,14,41,80,87,150,180,201],"detection":[7],"of":[8,96,121,138,147,176,188],"opinionated":[10],"review/claim,":[11],"since":[12],"the":[13,17,22,34,64,136,145,172,177],"expressed":[15],"text":[18],"often":[19],"depends":[20],"on":[21,185],"target.":[23,110,126,156],"In":[24,127],"practice,":[25],"we":[26,91],"need":[27],"to":[28,75,84,116,134,153,170],"deal":[29],"with":[30,73,161],"targets":[31,142],"unseen":[32,46],"annotated":[35],"training":[36],"data.":[37],"As":[38],"such,":[39],"detecting":[40],"for":[42,104,123,143,179],"unknown":[44,155],"or":[45],"target":[47,78],"is":[48,114,132,168],"important":[50],"research":[51],"problem.":[52],"This":[53],"paper":[54],"presents":[55],"a":[56,70,76,93,108,124,186],"novel":[57,94,158],"approach":[58],"that":[59,69,192],"automatically":[60],"identifies":[61],"and":[62,66],"adapts":[63],"target-dependent":[65],"target-independent":[67],"roles":[68],"word":[71],"respect":[74],"specific":[77],"expressions,":[81],"so":[82],"as":[83],"achieve":[85],"cross-target":[86,130,200],"detection.":[88,181,202],"More":[89],"concretely,":[90],"explore":[92],"solution":[95],"constructing":[97],"heterogeneous":[98],"target-adaptive":[99,173],"pragmatics":[100,119],"dependency":[101],"graphs":[102],"(TPDG)":[103],"each":[105],"sentence":[106],"towards":[107],"given":[109],"An":[111],"in-target":[112],"graph":[113,131,174],"constructed":[115,133],"produce":[117],"inherent":[118],"dependencies":[120],"words":[122,139],"distinct":[125],"addition,":[128],"another":[129],"develop":[135],"versatility":[137],"across":[140],"all":[141],"boosting":[144],"learning":[146],"dominant":[148],"word-level":[149],"expressions":[151],"available":[152],"A":[157],"graph-aware":[159],"model":[160,195],"interactive":[162],"Graphical":[163],"Convolutional":[164],"Network":[165],"(GCN)":[166],"blocks":[167],"developed":[169],"derive":[171],"representation":[175],"context":[178],"The":[182],"experimental":[183],"results":[184],"number":[187],"benchmark":[189],"datasets":[190],"show":[191],"our":[193],"proposed":[194],"outperforms":[196],"state-of-the-art":[197],"methods":[198]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
