{"id":"https://openalex.org/W4401043890","doi":"https://doi.org/10.18653/v1/2024.vardial-1.18","title":"JSI and W\u00fcNLP at the DIALECT-COPA Shared Task: In-Context Learning From Just a Few Dialectal Examples Gets You Quite Far","display_name":"JSI and W\u00fcNLP at the DIALECT-COPA Shared Task: In-Context Learning From Just a Few Dialectal Examples Gets You Quite Far","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401043890","doi":"https://doi.org/10.18653/v1/2024.vardial-1.18"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.vardial-1.18","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.vardial-1.18","pdf_url":"https://aclanthology.org/2024.vardial-1.18.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.vardial-1.18.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005200028","display_name":"Nikola Ljube\u0161i\u0107","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nikola Ljube\u0161i\u0107","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032339009","display_name":"Taja Kuzman","orcid":"https://orcid.org/0000-0001-7436-9896"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taja Kuzman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080303481","display_name":"Peter Rupnik","orcid":"https://orcid.org/0000-0003-3975-1832"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Rupnik","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094319437","display_name":"Ivan Vuli\u0107","orcid":"https://orcid.org/0000-0002-3663-7252"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivan Vuli\u0107","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101475878","display_name":"Fabian Schmidt","orcid":"https://orcid.org/0000-0003-1886-4803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabian Schmidt","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079336821","display_name":"Goran Glava\u009a\u0161","orcid":"https://orcid.org/0000-0002-1301-6314"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goran Glava\u0161","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5005200028"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3591,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65255188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"209","last_page":"219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.933899998664856,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.933899998664856,"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/context","display_name":"Context (archaeology)","score":0.7172796130180359},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6992088556289673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6976149082183838},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6299082040786743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6200717687606812},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3915383815765381},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3305319845676422},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.16298452019691467},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08256852626800537}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7172796130180359},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6992088556289673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6976149082183838},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6299082040786743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6200717687606812},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3915383815765381},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3305319845676422},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.16298452019691467},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08256852626800537},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.vardial-1.18","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.vardial-1.18","pdf_url":"https://aclanthology.org/2024.vardial-1.18.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.vardial-1.18","is_oa":true,"landing_page_url":"http://dx.doi.org/10.18653/v1/2024.vardial-1.18","pdf_url":"https://aclanthology.org/2024.vardial-1.18.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401043890.pdf","grobid_xml":"https://content.openalex.org/works/W4401043890.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4389443772","https://openalex.org/W2548721895","https://openalex.org/W2373456246","https://openalex.org/W2013265273","https://openalex.org/W4238809000","https://openalex.org/W2786646446","https://openalex.org/W2312871963","https://openalex.org/W405926467","https://openalex.org/W2331739042","https://openalex.org/W2390930322"],"abstract_inverted_index":{"The":[0],"paper":[1],"presents":[2],"the":[3,10,47,52,73,82,88,94,104,107,112,116,123,126,139],"JSI":[4],"and":[5,25,31,37,56],"WNLP":[6],"systems":[7],"submitted":[8],"to":[9,46,115,138],"DIALECT-COPA":[11],"shared":[12],"task":[13,67,117],"on":[14,143],"causal":[15],"commonsense":[16],"reasoning":[17],"in":[18,35,147],"dialectal":[19,133],"texts.Jointly,":[20],"we":[21,63],"compare":[22],"LLM-based":[23],"zeroshot":[24],"few-shot":[26,33,58],"in-context":[27,59,127],"inference":[28],"(JSI":[29],"team),":[30],"task-specific":[32],"fine-tuning,":[34],"English":[36],"respective":[38],"standard":[39,148],"language,":[40],"with":[41,97,129],"zero-shot":[42,55],"cross-lingual":[43],"transfer":[44],"(ZS-XLT)":[45],"test":[48],"dialects":[49],"(WNLP":[50],"team).Given":[51],"very":[53],"strong":[54,74],"especially":[57],"learning":[60,87,128],"(ICL)":[61],"performance,":[62,75],"further":[64,120],"investigate":[65],"whether":[66],"semantics,":[68],"or":[69,90],"language/dialect":[70],"semantics":[71,92,114,118],"explain":[72],"showing":[76],"that":[77,125],"a":[78,99,131],"significant":[79],"part":[80],"of":[81,106,111,145],"improvement":[83],"indeed":[84],"stems":[85],"from":[86,93,102],"language":[89],"dialect":[91,113],"incontext":[95],"examples,":[96],"only":[98,130],"minor":[100],"contribution":[101],"understanding":[103],"nature":[105],"task.The":[108],"higher":[109],"importance":[110],"is":[119],"shown":[121],"by":[122],"finding":[124],"few":[132],"instances":[134,146],"achieves":[135],"comparable":[136],"results":[137],"supervised":[140],"fine-tuning":[141],"approach":[142],"hundreds":[144],"language.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
