{"id":"https://openalex.org/W4403768369","doi":"https://doi.org/10.48550/arxiv.2409.13594","title":"Cross-Target Stance Detection: A Survey of Techniques, Datasets, and Challenges","display_name":"Cross-Target Stance Detection: A Survey of Techniques, Datasets, and Challenges","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4403768369","doi":"https://doi.org/10.48550/arxiv.2409.13594"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2409.13594","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.13594","pdf_url":"https://arxiv.org/pdf/2409.13594","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.13594","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047901833","display_name":"Parisa Jamadi Khiabani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khiabani, Parisa Jamadi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071220716","display_name":"Arkaitz Zubiaga","orcid":"https://orcid.org/0000-0003-4583-3623"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zubiaga, Arkaitz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"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":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9894000291824341,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9894000291824341,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.982200026512146,"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"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46971291303634644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4339172840118408},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36016833782196045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46971291303634644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4339172840118408},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36016833782196045}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2409.13594","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.13594","pdf_url":"https://arxiv.org/pdf/2409.13594","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2409.13594","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2409.13594","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.13594","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.13594","pdf_url":"https://arxiv.org/pdf/2409.13594","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322246","display_name":"Islamic Development Bank","ror":"https://ror.org/04e3z5r84"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403768369.pdf"},"referenced_works_count":0,"referenced_works":[],"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":{"Stance":[0],"detection":[1,77],"is":[2,38,154],"the":[3,7,21,47,58,72,79,83,109,133,147,161,166,184],"task":[4,22,59],"of":[5,111,135,146,174],"determining":[6],"viewpoint":[8],"expressed":[9],"in":[10,66,74,102,165,183],"a":[11,14,29,42,63],"text":[12],"towards":[13],"given":[15],"target.":[16,45],"A":[17,143],"specific":[18],"direction":[19],"within":[20],"focuses":[23],"on":[24,32],"cross-target":[25,75],"stance":[26,76],"detection,":[27,119],"where":[28],"model":[30,127,141],"trained":[31],"samples":[33],"pertaining":[34],"to":[35,41,50,89,99],"certain":[36],"targets":[37],"then":[39],"applied":[40],"new,":[43],"unseen":[44],"With":[46],"increasing":[48],"need":[49],"analyze":[51],"and":[52,55,92,104,114,132,163,176],"mining":[53],"viewpoints":[54],"opinions":[56],"online,":[57],"has":[60],"recently":[61],"seen":[62],"significant":[64],"surge":[65],"interest.":[67],"This":[68],"review":[69],"paper":[70],"examines":[71],"advancements":[73,96],"over":[78],"last":[80],"decade,":[81],"highlighting":[82,171],"evolution":[84],"from":[85],"basic":[86],"statistical":[87],"methods":[88,131],"contemporary":[90],"neural":[91],"LLM-based":[93],"models.":[94],"These":[95],"have":[97,138],"led":[98],"notable":[100],"improvements":[101],"accuracy":[103],"adaptability.":[105],"Innovative":[106],"approaches":[107],"include":[108],"use":[110],"topic-grouped":[112],"attention":[113],"adversarial":[115],"learning":[116],"for":[117,150,180],"zero-shot":[118],"as":[120,122],"well":[121],"fine-tuning":[123],"techniques":[124],"that":[125],"enhance":[126],"robustness.":[128],"Additionally,":[129],"prompt-tuning":[130],"integration":[134],"external":[136],"knowledge":[137],"further":[139],"refined":[140],"performance.":[142],"comprehensive":[144],"overview":[145],"datasets":[148],"used":[149],"evaluating":[151],"these":[152],"models":[153],"also":[155],"provided,":[156],"offering":[157],"valuable":[158],"insights":[159],"into":[160],"progress":[162],"challenges":[164],"field.":[167],"We":[168],"conclude":[169],"by":[170,177],"emerging":[172],"directions":[173],"research":[175],"suggesting":[178],"avenues":[179],"future":[181],"work":[182],"task.":[185]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}