{"id":"https://openalex.org/W4412889402","doi":"https://doi.org/10.18653/v1/2025.acl-srw.46","title":"Cross-Genre Learning for Old English Poetry POS Tagging","display_name":"Cross-Genre Learning for Old English Poetry POS Tagging","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412889402","doi":"https://doi.org/10.18653/v1/2025.acl-srw.46"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-srw.46","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-srw.46","pdf_url":"https://aclanthology.org/2025.acl-srw.46.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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-srw.46.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119181752","display_name":"Irene Miani","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Irene Miani","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051985869","display_name":"Sara Stymne","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sara Stymne","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011157228","display_name":"Gregory R. Darwin","orcid":"https://orcid.org/0000-0002-3365-6538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gregory R. Darwin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119181752"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10011952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"708","last_page":"724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9968000054359436,"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":0.9968000054359436,"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/T12353","display_name":"Lexicography and Language Studies","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7031735777854919},{"id":"https://openalex.org/keywords/poetry","display_name":"Poetry","score":0.693260669708252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4633384943008423},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4540196657180786},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3314419388771057},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.2185952365398407},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.21160656213760376},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.06467008590698242}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031735777854919},{"id":"https://openalex.org/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.693260669708252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4633384943008423},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4540196657180786},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3314419388771057},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.2185952365398407},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.21160656213760376},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.06467008590698242}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2025.acl-srw.46","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-srw.46","pdf_url":"https://aclanthology.org/2025.acl-srw.46.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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:uu-573967","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-573967","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-srw.46","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-srw.46","pdf_url":"https://aclanthology.org/2025.acl-srw.46.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 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412889402.pdf","grobid_xml":"https://content.openalex.org/works/W4412889402.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2899084033","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W2748952813","https://openalex.org/W1531601525","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Poetry":[0],"has":[1],"always":[2],"distinguished":[3],"itself":[4],"from":[5,147],"other":[6],"literary":[7],"genres":[8,137],"in":[9,21,26,48],"many":[10],"ways,":[11],"including":[12],"grammatically":[13],"and":[14,45,77,94,108,122,186],"syntactically.These":[15],"differences":[16,72,181],"are":[17,67],"evident":[18],"not":[19,152,176],"only":[20,177],"modern":[22],"literature":[23],"but":[24,188],"also":[25,189],"earlier":[27],"stages.Linguistic":[28],"analysis":[29],"tools":[30,197],"struggle":[31],"to":[32,63,97,113,167,171],"address":[33],"these":[34],"differences.This":[35],"paper":[36],"focuses":[37],"on":[38,84],"the":[39,49,52,98,115,133,142,148,179,191],"dichotomy":[40],"between":[41,73,135,182],"Old":[42,74,183],"English":[43,75,184],"poetry":[44,76,123,185],"prose,":[46],"specifically":[47],"context":[50],"of":[51,70,117,120,144,162,193],"POS":[53,79],"tagging":[54],"task.Two":[55],"annotated":[56],"corpora":[57],"representing":[58],"each":[59],"genre":[60,150],"were":[61],"analyzed":[62],"show":[64],"that":[65,131],"there":[66],"several":[68],"types":[69],"structural":[71],"prose.For":[78],"tagging,":[80],"we":[81],"conduct":[82,109],"experiments":[83,112],"both":[85,125],"a":[86,95,106,159],"detailed":[87],"tag":[88,100,126],"set":[89,101],"with":[90,102],"over":[91],"200":[92],"tags":[93],"mapping":[96],"UPOS":[99],"17":[103],"tags.We":[104],"establish":[105],"baseline":[107],"two":[110,136],"cross-genre":[111],"investigate":[114],"effect":[116],"different":[118],"proportions":[119],"prose":[121,187],"data.Across":[124],"sets,":[127],"our":[128],"results":[129],"indicate":[130],"if":[132],"divergence":[134],"is":[138],"substantial,":[139],"simply":[140],"increasing":[141],"quantity":[143],"training":[145],"data":[146,164],"support":[149],"does":[151],"necessarily":[153],"improve":[154],"prediction":[155],"accuracy.However,":[156],"incorporating":[157],"even":[158],"small":[160],"amount":[161],"target":[163],"can":[165],"lead":[166],"better":[168],"performance":[169],"compared":[170],"excluding":[172],"it":[173],"entirely.This":[174],"study":[175],"highlights":[178],"linguistic":[180],"emphasizes":[190],"importance":[192],"developing":[194],"effective":[195],"NLP":[196],"for":[198],"underrepresented":[199],"historical":[200],"languages":[201],"across":[202],"all":[203],"genres.":[204]},"counts_by_year":[],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}
