{"id":"https://openalex.org/W2998700197","doi":"https://doi.org/10.1109/taslp.2020.2963954","title":"Neural Stance Detection With Hierarchical Linguistic Representations","display_name":"Neural Stance Detection With Hierarchical Linguistic Representations","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2998700197","doi":"https://doi.org/10.1109/taslp.2020.2963954","mag":"2998700197"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2020.2963954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2020.2963954","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","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/A5101913650","display_name":"Zhongqing Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongqing Wang","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0839-9856","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082914971","display_name":"Qingying Sun","orcid":"https://orcid.org/0000-0003-2580-8957"},"institutions":[{"id":"https://openalex.org/I4210147117","display_name":"Huaiyin Normal University","ror":"https://ror.org/03xvggv44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147117"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingying Sun","raw_affiliation_strings":["Huaiyin Normal University, Huai\u2019an, China","Huaiyin Normal University, Huai'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huaiyin Normal University, Huai\u2019an, China","institution_ids":["https://openalex.org/I4210147117"]},{"raw_affiliation_string":"Huaiyin Normal University, Huai'an, China","institution_ids":["https://openalex.org/I4210147117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003885809","display_name":"Shoushan Li","orcid":"https://orcid.org/0000-0002-1000-3278"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shoushan Li","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102065469","display_name":"Qiaoming Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoming Zhu","raw_affiliation_strings":["Institute of Artificial Intelligence, Soochow University, Suzhou, China","School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012794465","display_name":"Guodong Zhou","orcid":"https://orcid.org/0000-0002-7887-5099"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Zhou","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0315,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89236176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":null,"first_page":"635","last_page":"645"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.635568380355835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6002913117408752},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5934864282608032},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5709596276283264},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5470222234725952},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5380795001983643},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5353055000305176},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5197350978851318},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.47159871459007263},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4459289014339447},{"id":"https://openalex.org/keywords/linguistic-analysis","display_name":"Linguistic analysis","score":0.43581780791282654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.0775490403175354},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07297253608703613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.635568380355835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6002913117408752},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5934864282608032},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5709596276283264},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5470222234725952},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5380795001983643},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5353055000305176},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5197350978851318},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.47159871459007263},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4459289014339447},{"id":"https://openalex.org/C2987219923","wikidata":"https://www.wikidata.org/wiki/Q777864","display_name":"Linguistic analysis","level":2,"score":0.43581780791282654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0775490403175354},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07297253608703613},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2020.2963954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2020.2963954","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2330337667","display_name":null,"funder_award_id":"61702149","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3561341673","display_name":"\u9762\u5411\u9886\u57df\u5927\u6570\u636e\u7684\u4e8b\u4ef6\u77e5\u8bc6\u56fe\u8c31\u6784\u5efa\u7814\u7a76","funder_award_id":"61836007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3821383714","display_name":null,"funder_award_id":"61751206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5473071115","display_name":null,"funder_award_id":"61806137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1967807490","https://openalex.org/W2048392812","https://openalex.org/W2064675550","https://openalex.org/W2097726431","https://openalex.org/W2098420572","https://openalex.org/W2108646579","https://openalex.org/W2127804677","https://openalex.org/W2133564696","https://openalex.org/W2134036914","https://openalex.org/W2143398792","https://openalex.org/W2145327091","https://openalex.org/W2150248423","https://openalex.org/W2153579005","https://openalex.org/W2250397934","https://openalex.org/W2250730878","https://openalex.org/W2252133813","https://openalex.org/W2460159515","https://openalex.org/W2462365838","https://openalex.org/W2509222396","https://openalex.org/W2517045459","https://openalex.org/W2558230719","https://openalex.org/W2566287401","https://openalex.org/W2575422056","https://openalex.org/W2739716023","https://openalex.org/W2740437876","https://openalex.org/W2741375528","https://openalex.org/W2741986820","https://openalex.org/W2767329425","https://openalex.org/W2798586382","https://openalex.org/W2798743277","https://openalex.org/W2837466345","https://openalex.org/W2859594143","https://openalex.org/W2883900035","https://openalex.org/W2884022884","https://openalex.org/W2884083742","https://openalex.org/W2962681771","https://openalex.org/W2962707223","https://openalex.org/W2962795929","https://openalex.org/W2963443217","https://openalex.org/W2963811339","https://openalex.org/W2964213727","https://openalex.org/W2964230653","https://openalex.org/W2964308564","https://openalex.org/W3098057198","https://openalex.org/W4205184193","https://openalex.org/W4211186029","https://openalex.org/W4294170691","https://openalex.org/W6631190155","https://openalex.org/W6674917748","https://openalex.org/W6678985207","https://openalex.org/W6679434410","https://openalex.org/W6681292907","https://openalex.org/W6681699098","https://openalex.org/W6682691769","https://openalex.org/W6691765621","https://openalex.org/W6713351709","https://openalex.org/W6731543481","https://openalex.org/W6732246345","https://openalex.org/W6752842320","https://openalex.org/W6753117405"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"Stance":[0],"detection":[1],"aims":[2],"to":[3,12,29,47,71,85,91,110],"assign":[4],"a":[5,13,16,22,33,80,94,104],"stance":[6,31,64],"label":[7],"(i.e.,":[8],"favor":[9],"or":[10],"against)":[11],"post":[14],"towards":[15],"specific":[17],"target.":[18],"Recently,":[19],"there":[20],"is":[21],"growing":[23],"interest":[24],"in":[25],"adopting":[26],"neural":[27,83],"models":[28],"detect":[30],"of":[32,37,45,65,114,117,139],"document.":[34],"However,":[35],"most":[36],"these":[38],"works":[39],"focus":[40],"on":[41,132],"modeling":[42],"the":[43,63,73,112,122,137],"sequence":[44],"words":[46],"learn":[48,121],"document":[49,95,126],"representation,":[50],"though":[51],"other":[52],"linguistic":[53,89,98,118,128],"information,":[54,119],"such":[55],"as":[56],"sentiment":[57],"and":[58,67,120,127],"arguments,":[59],"are":[60],"correlated":[61],"with":[62,107,143],"document,":[66],"may":[68],"inspire":[69],"us":[70],"explore":[72],"stance.":[74],"In":[75,100],"this":[76],"article,":[77],"we":[78,102],"propose":[79,103],"hierarchical":[81,97,105,141],"attention":[82,108,124,144],"model":[84],"well":[86],"study":[87],"various":[88,115],"information":[90],"better":[92],"represent":[93],"via":[96],"representations.":[99],"addition,":[101],"network":[106,142],"mechanism":[109],"weight":[111],"importance":[113],"kinds":[116],"mutual":[123],"between":[125],"information.":[129],"Detail":[130],"evaluation":[131],"two":[133],"benchmark":[134],"datasets":[135],"demonstrates":[136],"effectiveness":[138],"proposed":[140],"mechanism.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-23T13:55:30.953635","created_date":"2025-10-10T00:00:00"}
