{"id":"https://openalex.org/W7127075771","doi":"https://doi.org/10.48550/arxiv.2601.23022","title":"DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis","display_name":"DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7127075771","doi":"https://doi.org/10.48550/arxiv.2601.23022"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.23022","doi":"https://doi.org/10.48550/arxiv.2601.23022","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.23022","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2601.23022","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078362082","display_name":"Lung\u2010Hao Lee","orcid":"https://orcid.org/0000-0003-0472-7429","observed_orcids":["https://orcid.org/0000-0003-0472-7429"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Lung-Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124832348","display_name":"Liang-Chih Yu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Liang-Chih","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124840385","display_name":"Natalia Loukashevich","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Loukashevich, Natalia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019116960","display_name":"Ilseyar Alimova","orcid":"https://orcid.org/0000-0003-4528-6631","observed_orcids":["https://orcid.org/0000-0003-4528-6631"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alimova, Ilseyar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134385108","display_name":"Alexander Panchenko","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panchenko, Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035777431","display_name":"Tzu-Mi Lin","orcid":"https://orcid.org/0000-0002-2604-3725","observed_orcids":["https://orcid.org/0000-0002-2604-3725"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Tzu-Mi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124359512","display_name":"Zhe-Yu Xu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Zhe-Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124798107","display_name":"Jian-Yu Zhou","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jian-Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028499367","display_name":"Guangmin Zheng","orcid":"https://orcid.org/0000-0002-3781-170X","observed_orcids":["https://orcid.org/0000-0002-3781-170X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Guangmin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124819400","display_name":"Jin Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124836215","display_name":"Sharanya Awasthi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Awasthi, Sharanya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124339994","display_name":"Jonas Becker","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Becker, Jonas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008679414","display_name":"Jan Philip Wahle","orcid":"https://orcid.org/0000-0002-2116-9767","observed_orcids":["https://orcid.org/0000-0002-2116-9767"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wahle, Jan Philip","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081763922","display_name":"Terry Ruas","orcid":"https://orcid.org/0000-0002-9440-780X","observed_orcids":["https://orcid.org/0000-0002-9440-780X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruas, Terry","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002849148","display_name":"Shamsuddeen Hassan Muhammad","orcid":"https://orcid.org/0000-0001-7708-0799","observed_orcids":["https://orcid.org/0000-0001-7708-0799"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad, Shamsuddeen Hassan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124433732","display_name":"Saif M. Mohammed","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad, Saif M.","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":false,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.0,"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":0.0,"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/aspect-based-sentiment-analysis","display_name":"aspect-based sentiment analysis","score":0.8569999933242798},{"id":"https://openalex.org/keywords/multilingual-dataset","display_name":"multilingual dataset","score":0.6140000224113464},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.6150000095367432},{"id":"https://openalex.org/keywords/annotated-data","display_name":"annotated dataset","score":0.3479999899864197},{"id":"https://openalex.org/keywords/opinion-terms","display_name":"opinion terms","score":0.3779999911785126}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8331999778747559},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7886000275611877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767000198364258},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7468000054359436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5493000149726868},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5023000240325928},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4867999851703644},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4803999960422516},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31189998984336853},{"id":"https://openalex.org/C3018824978","wikidata":"https://www.wikidata.org/wiki/Q2894891","display_name":"Error analysis","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.23022","doi":"https://doi.org/10.48550/arxiv.2601.23022","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.23022","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.23022","doi":"https://doi.org/10.48550/arxiv.2601.23022","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.23022","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/4","score":0.6371752619743347,"display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Aspect-Based":[0],"Sentiment":[1],"Analysis":[2],"(ABSA)":[3],"focuses":[4],"on":[5,26],"extracting":[6],"sentiment":[7,53,67],"at":[8,62],"a":[9,48,128,148,165,185,190],"fine-grained":[10,60],"aspect":[11,65,89,103],"level":[12],"and":[13,66,91,94,111,143,171,188],"has":[14],"been":[15],"widely":[16],"applied":[17],"across":[18,105,176],"real-world":[19],"domains.":[20,113],"However,":[21],"existing":[22],"ABSA":[23,79,85,125,132],"research":[24],"relies":[25],"coarse-grained":[27],"categorical":[28,142],"labels":[29],"(e.g.,":[30],"positive,":[31],"negative),":[32],"which":[33,155,203],"limits":[34],"its":[35],"ability":[36],"to":[37,133],"capture":[38],"nuanced":[39],"affective":[40],"states.":[41],"To":[42,69],"address":[43],"this":[44,70],"limitation,":[45],"we":[46,72,146],"adopt":[47],"dimensional":[49,78,134,195],"approach":[50],"that":[51,119,137,182],"represents":[52],"with":[54,82,123],"continuous":[55,144,152],"valence-arousal":[56],"(VA)":[57],"scores,":[58],"enabling":[59],"analysis":[61],"both":[63,83,141,169],"the":[64,75,200],"levels.":[68],"end,":[71],"introduce":[73,116],"DimABSA,":[74],"first":[76],"multilingual,":[77],"resource":[80,100],"annotated":[81],"traditional":[84,131],"elements":[86],"(aspect":[87],"terms,":[88],"categories,":[90],"opinion":[92],"terms)":[93],"newly":[95],"introduced":[96],"VA":[97,121,157],"scores.":[98],"This":[99],"contains":[101],"76,958":[102],"instances":[104],"42,590":[106],"sentences,":[107],"spanning":[108],"six":[109],"languages":[110],"four":[112],"We":[114,163,197],"further":[115],"three":[117],"subtasks":[118,139],"combine":[120],"scores":[122],"different":[124],"elements,":[126],"providing":[127],"bridge":[129],"from":[130],"ABSA.":[135,196],"Given":[136],"these":[138],"involve":[140],"outputs,":[145],"propose":[147],"new":[149],"unified":[150],"metric,":[151],"F1":[153],"(cF1),":[154],"incorporates":[156],"prediction":[158],"error":[159],"into":[160],"standard":[161],"F1.":[162],"provide":[164],"comprehensive":[166],"benchmark":[167,187],"using":[168],"prompted":[170],"fine-tuned":[172],"large":[173],"language":[174],"models":[175],"all":[177],"subtasks.":[178],"Our":[179],"results":[180],"show":[181],"DimABSA":[183,201],"is":[184],"challenging":[186],"provides":[189],"foundation":[191],"for":[192,206],"advancing":[193],"multilingual":[194],"publicly":[198],"released":[199],"dataset,":[202],"was":[204],"used":[205],"Track":[207],"A":[208],"of":[209],"SemEval-2026":[210],"Task":[211],"3,":[212],"attracting":[213],"over":[214],"300":[215],"participants.":[216]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2026-02-03T00:00:00"}
