{"id":"https://openalex.org/W4405633792","doi":"https://doi.org/10.1109/mlnlp63328.2024.10800583","title":"EA-MTIL: A Study of Stance Detection with Integrated Multitask Learning","display_name":"EA-MTIL: A Study of Stance Detection with Integrated Multitask Learning","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4405633792","doi":"https://doi.org/10.1109/mlnlp63328.2024.10800583"},"language":"en","primary_location":{"id":"doi:10.1109/mlnlp63328.2024.10800583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlnlp63328.2024.10800583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP)","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/A5047761999","display_name":"Guirong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guirong Chen","raw_affiliation_strings":["Air Force Engineering University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Engineering University,Xi'an,China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110808877","display_name":"Lian Duan","orcid":"https://orcid.org/0000-0001-7095-2902"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Duan","raw_affiliation_strings":["Air Force Engineering University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Engineering University,Xi'an,China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083708946","display_name":"Aiwang Chen","orcid":"https://orcid.org/0009-0008-8285-6828"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiwang Chen","raw_affiliation_strings":["Air Force Engineering University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Engineering University,Xi'an,China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076226964","display_name":"Yunfei Mu","orcid":"https://orcid.org/0000-0002-3238-1501"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangcheng Mu","raw_affiliation_strings":["Air Force Engineering University,Xi'an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Engineering University,Xi'an,China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210104252"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.8343999981880188,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.8343999981880188,"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":0.7240999937057495,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.6775000095367432,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6244033575057983},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5676625370979309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3684689700603485},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.22285321354866028},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1785677969455719},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.10477223992347717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244033575057983},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5676625370979309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3684689700603485},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.22285321354866028},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1785677969455719},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.10477223992347717}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlnlp63328.2024.10800583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlnlp63328.2024.10800583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1967807490","https://openalex.org/W2460159515","https://openalex.org/W2559054912","https://openalex.org/W2575422056","https://openalex.org/W2751928356","https://openalex.org/W2767329425","https://openalex.org/W2979826702","https://openalex.org/W3018086583","https://openalex.org/W4302275239","https://openalex.org/W4319781334","https://openalex.org/W4362014521","https://openalex.org/W4386742711","https://openalex.org/W4389899890","https://openalex.org/W4391097066","https://openalex.org/W4400238690","https://openalex.org/W4402187277","https://openalex.org/W4402264339","https://openalex.org/W6739901393","https://openalex.org/W6753084064"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Previous":[0],"research":[1],"on":[2,7,49,116],"stance":[3,13,87,142],"detection":[4,88],"usually":[5],"focuses":[6],"incorporating":[8],"sentiment":[9,76,150],"analysis":[10,41],"to":[11,81,97],"help":[12],"detection,":[14],"whereas":[15],"texts":[16],"with":[17,35],"ironic":[18,79],"maneuvers":[19],"may":[20],"reverse":[21],"the":[22,30,36,68,83,86,99,103,107,112,125,132,135,138],"entire":[23],"semantics.":[24],"In":[25],"this":[26,122],"paper,":[27],"we":[28],"propose":[29],"EA-MTIL":[31],"model":[32,62,91,96],"for":[33,42],"Arabic":[34],"additional":[37],"introduction":[38],"of":[39,75,85,106,124,137,153],"sarcasm":[40],"detecting":[43],"stances":[44],"(favor,":[45],"against":[46],"or":[47],"neutral)":[48],"three":[50,108],"selected":[51],"topics":[52],"(COVID-19":[53],"Vaccine,":[54],"Digital":[55],"Transformation,":[56],"and":[57,78,119,149,156],"Female":[58],"Empowerment).":[59],"The":[60,90],"MTIL-based":[61],"can":[63],"federate":[64],"other":[65],"information":[66],"in":[67],"textual":[69],"data,":[70],"such":[71],"as":[72],"its":[73],"inclusion":[74],"tendencies":[77],"maneuvers,":[80],"improve":[82],"performance":[84,136],"system.":[89],"uses":[92],"an":[93],"integrated":[94],"BERT":[95],"complete":[98],"coding":[100],"work,":[101],"learns":[102],"general":[104],"features":[105],"tasks":[109,147,155],"by":[110,144],"combining":[111],"External":[113],"Attention":[114],"(EA)":[115],"feature":[117,126],"extraction,":[118],"efficiently":[120],"fuses":[121],"part":[123],"map.":[127],"Experimental":[128],"results":[129],"show":[130],"that":[131],"framework":[133],"improves":[134],"primary":[139],"task":[140],"(i.e.,":[141],"detection)":[143],"utilizing":[145],"secondary":[146],"(sarcasm":[148],"analysis)":[151],"instead":[152],"unimodal":[154],"single-task":[157],"variables.":[158]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}