{"id":"https://openalex.org/W7117472153","doi":"https://doi.org/10.1007/s40747-025-02170-7","title":"An entropy-regularized counterfactual framework for robust and generalizable ABSA","display_name":"An entropy-regularized counterfactual framework for robust and generalizable ABSA","publication_year":2025,"publication_date":"2025-12-29","ids":{"openalex":"https://openalex.org/W7117472153","doi":"https://doi.org/10.1007/s40747-025-02170-7"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-02170-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02170-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02170-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02170-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qian Deng","orcid":"https://orcid.org/0009-0007-7318-4612"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Deng","raw_affiliation_strings":["Central China Normal University Wollongong Joint Institute, Central China Normal University, 382 Xiongchu Avenue, Wuhan, 430079, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0007-7318-4612","affiliations":[{"raw_affiliation_string":"Central China Normal University Wollongong Joint Institute, Central China Normal University, 382 Xiongchu Avenue, Wuhan, 430079, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338243","display_name":"Hu Yang","orcid":"https://orcid.org/0000-0001-6589-8534"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haitong Yang","raw_affiliation_strings":["School of Computer Science, Central China Normal University, 382 Xiongchu Avenue, Wuhan, 430079, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Central China Normal University, 382 Xiongchu Avenue, Wuhan, 430079, Hubei, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867258","display_name":"Jun Shen","orcid":"https://orcid.org/0009-0007-7362-1085"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Shen","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Northfields Avenue, Wollongong, NSW, 2522, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Northfields Avenue, Wollongong, NSW, 2522, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084245696","display_name":"Jinguang Gu Jinguang Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]},{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinguang Gu","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, No. 2, West Huangjiahu Road, Hongshan District, Wuhan, 430065, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, No. 2, West Huangjiahu Road, Hongshan District, Wuhan, 430065, Hubei, China","institution_ids":["https://openalex.org/I74525822","https://openalex.org/I43922553","https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121481103","display_name":"Jinshuo Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshuo Liu","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, 299 Bayi Road, Wuhan, 430072, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, 299 Bayi Road, Wuhan, 430072, Hubei, China","institution_ids":["https://openalex.org/I4210111616","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, 299 Bayi Road, Wuhan, 430072, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, 299 Bayi Road, Wuhan, 430072, Hubei, China","institution_ids":["https://openalex.org/I4210111616","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078576747","display_name":"Youcheng Yan","orcid":"https://orcid.org/0000-0002-4495-6894"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210111616","display_name":"Wuhan Business University","ror":"https://ror.org/0282ggx30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210111616"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youcheng Yan","raw_affiliation_strings":["School of Cyber Science and Engineering, Wuhan University, 299 Bayi Road, Wuhan, 430072, Hubei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Wuhan University, 299 Bayi Road, Wuhan, 430072, Hubei, China","institution_ids":["https://openalex.org/I4210111616","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100338243"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.396,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89189982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.949999988079071,"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":0.949999988079071,"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":0.011099999770522118,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.004399999976158142,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.9021999835968018},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.8079000115394592},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5004000067710876},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4869000017642975},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48019999265670776},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47099998593330383},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.453900009393692},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.3366999924182892}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.9021999835968018},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8079000115394592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6618000268936157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6194999814033508},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5483999848365784},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5004000067710876},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4869000017642975},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48019999265670776},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47099998593330383},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35929998755455017},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.32170000672340393},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30869999527931213},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3018999993801117},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C71889745","wikidata":"https://www.wikidata.org/wiki/Q1783264","display_name":"Counterfactual conditional","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2612999975681305},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-02170-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02170-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02170-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0390b222dc1f4ee99e87a8f734736fda","is_oa":true,"landing_page_url":"https://doaj.org/article/0390b222dc1f4ee99e87a8f734736fda","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 12, Iss 1, Pp 1-18 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-02170-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02170-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02170-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.608400285243988,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7117472153.pdf","grobid_xml":"https://content.openalex.org/works/W7117472153.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2098697817","https://openalex.org/W2465978385","https://openalex.org/W2562607067","https://openalex.org/W2950404230","https://openalex.org/W2963168371","https://openalex.org/W2963240575","https://openalex.org/W2963909901","https://openalex.org/W2964164368","https://openalex.org/W2971220558","https://openalex.org/W3035529900","https://openalex.org/W3100451998","https://openalex.org/W3100561719","https://openalex.org/W3174716710","https://openalex.org/W3176719207","https://openalex.org/W4280545936","https://openalex.org/W4312908198","https://openalex.org/W4313547839","https://openalex.org/W4385573700","https://openalex.org/W4387431452","https://openalex.org/W4388725824","https://openalex.org/W4389264584","https://openalex.org/W4389683810","https://openalex.org/W4389904147","https://openalex.org/W4390350918","https://openalex.org/W4393154964","https://openalex.org/W4393157111","https://openalex.org/W4399801007","https://openalex.org/W4402683775","https://openalex.org/W4408167932"],"related_works":[],"abstract_inverted_index":{"Pre-trained":[0],"language":[1],"models":[2,185],"have":[3],"demonstrated":[4],"outstanding":[5],"performance":[6],"in":[7,28],"aspect-based":[8],"sentiment":[9,25],"analysis":[10],"(ABSA).":[11],"However,":[12],"existing":[13],"methods":[14],"are":[15],"often":[16],"hindered":[17],"by":[18,83],"spurious":[19,111],"correlations":[20],"between":[21],"aspect-level":[22],"features":[23,82],"and":[24,47,68,87,90,121,153,174,186],"labels,":[26],"resulting":[27],"incorrect":[29],"predictions.":[30],"To":[31],"address":[32],"this":[33],"issue,":[34],"we":[35],"propose":[36],"a":[37,97],"new":[38],"counterfactual":[39,61,107],"data":[40,137],"generation":[41],"framework":[42],"based":[43],"on":[44,167],"contrastive":[45,71,93,124],"learning":[46,94,125],"information":[48,86,116,128],"entropy":[49,117],"(called":[50],"CLIE).":[51],"CLIE":[52],"primarily":[53],"consists":[54],"of":[55,164],"two":[56],"key":[57,81],"components:":[58],"the":[59,69,102,141,148,157,175],"generative":[60],"synthesis":[62],"engine":[63],"(referred":[64,74],"to":[65,75,95,104,109,131,150],"as":[66,76],"GCSE)":[67],"entropy-driven":[70],"discrimination":[72],"network":[73],"EDCDN).":[77],"First,":[78],"GCSE":[79],"selects":[80],"combining":[84],"mutual":[85,127],"normalised":[88],"entropy,":[89],"uses":[91,122],"entropy-weighted":[92,123],"construct":[96],"sample":[98],"semantic":[99],"topology,":[100],"driving":[101],"LLM":[103],"generate":[105],"high-quality":[106],"instances":[108],"reduce":[110],"correlations.":[112],"Then,":[113],"EDCDN":[114],"employs":[115],"for":[118,144,156],"gated":[119],"filtering":[120],"with":[126,140],"regularisation":[129],"terms":[130],"suppress":[132],"contextual":[133],"bias.":[134],"The":[135],"filtered":[136],"is":[138],"merged":[139],"original":[142],"dataset":[143],"training,":[145],"thereby":[146],"guiding":[147],"model":[149,166,181],"learn":[151],"effective":[152],"robust":[154],"representations":[155],"ABSA":[158,171],"task.":[159],"We":[160],"conducted":[161],"extensive":[162],"evaluations":[163],"our":[165,180],"four":[168],"widely":[169],"used":[170],"benchmark":[172],"datasets,":[173],"experimental":[176],"results":[177],"demonstrate":[178],"that":[179],"outperforms":[182],"other":[183],"SOTA":[184],"exhibits":[187],"excellent":[188],"robustness.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-12-29T00:00:00"}