{"id":"https://openalex.org/W7140074478","doi":"https://doi.org/10.48550/arxiv.2603.19283","title":"Automated Motif Indexing on the Arabian Nights","display_name":"Automated Motif Indexing on the Arabian Nights","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7140074478","doi":"https://doi.org/10.48550/arxiv.2603.19283"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.19283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19283","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":"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.19283","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5105014349","display_name":"Ibrahim Alyami","orcid":"https://orcid.org/0009-0009-8872-4380"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alyami, Ibrahim H.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5109990506","display_name":"Mark A. Finlayson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Finlayson, Mark A.","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/T12586","display_name":"Folklore, Mythology, and Literature Studies","score":0.31690001487731934,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12586","display_name":"Folklore, Mythology, and Literature Studies","score":0.31690001487731934,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.09480000287294388,"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/T12090","display_name":"Language and cultural evolution","score":0.08250000327825546,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/motif","display_name":"Motif (music)","score":0.9531000256538391},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6359000205993652},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.5454999804496765},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.544700026512146},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5029000043869019},{"id":"https://openalex.org/keywords/structural-motif","display_name":"Structural motif","score":0.4090000092983246}],"concepts":[{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.9531000256538391},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6359000205993652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5827999711036682},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5648999810218811},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.5454999804496765},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.544700026512146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5077000260353088},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5029000043869019},{"id":"https://openalex.org/C132677234","wikidata":"https://www.wikidata.org/wiki/Q3273544","display_name":"Structural motif","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3181000053882599},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.26190000772476196}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.19283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19283","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":"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.2603.19283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.19283","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":"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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Motifs":[0],"are":[1,74],"non-commonplace,":[2],"recurring":[3],"narrative":[4],"elements,":[5],"often":[6],"found":[7],"originally":[8],"in":[9,25,38,115,193],"folk":[10],"stories.":[11],"In":[12],"addition":[13],"to":[14,18,75,86,127],"being":[15],"of":[16,36,59,91,122,124,142,157,190,221],"interest":[17],"folklorists,":[19],"motifs":[20,37,60,145],"appear":[21],"as":[22,51,53],"metaphoric":[23],"devices":[24],"modern":[26,57],"news,":[27],"literature,":[28],"propaganda,":[29],"and":[30,63,151,171,175,196],"other":[31],"cultural":[32],"texts.":[33],"Finding":[34],"expressions":[35,141,162],"the":[39,56,82,119,129,198],"original":[40],"folkloristic":[41,47],"text":[42,103],"is":[43,93,211],"useful":[44],"for":[45,54,149,159],"both":[46],"analysis":[48],"(motif":[49,61],"indexing)":[50],"well":[52],"understanding":[55],"usage":[58],"detection":[62],"interpretation).":[64],"Prior":[65],"work":[66],"has":[67],"primarily":[68],"shown":[69],"how":[70],"difficult":[71],"these":[72],"problems":[73],"tackle":[76],"using":[77,173],"automated":[78],"techniques.":[79],"We":[80,131,153],"present":[81],"first":[83],"computational":[84],"approach":[85],"motif":[87,111,140,161,165],"indexing.":[88],"Our":[89,207],"choice":[90],"data":[92],"a":[94,99,109,133,164,176,212],"key":[95],"enabler:":[96],"we":[97],"use":[98],"large,":[100],"widely":[101],"available":[102],"(the":[104],"Arabian":[105],"Nights)":[106],"paired":[107],"with":[108,205],"detailed":[110],"index":[112,166],"(by":[113],"El-Shamy":[114],"2006),":[116],"which":[117,216],"overcomes":[118],"common":[120],"problem":[121],"inaccessibility":[123],"texts":[125],"referred":[126],"by":[128],"index.":[130],"created":[132],"manually":[134],"annotated":[135],"corpus":[136],"that":[137],"identified":[138],"2,670":[139],"200":[143],"different":[144],"across":[146],"58,450":[147],"sentences":[148],"training":[150],"testing.":[152],"tested":[154],"five":[155],"types":[156],"approaches":[158,201],"detecting":[160],"given":[163],"entry:":[167],"(1)":[168],"classic":[169],"retrieve":[170],"re-rank":[172],"keywords":[174],"fine-tuned":[177,184,204,213],"cross-encoder;":[178],"(2)":[179],"off-the-shelf":[180,191],"embedding":[181,185],"models;":[182,186],"(3)":[183],"(4)":[187],"generative":[188,200],"prompting":[189],"LLMs":[192,203],"N-shot":[194],"setups;":[195],"(5)":[197],"same":[199],"on":[202],"LoRA.":[206],"best":[208],"performing":[209],"system":[210],"Llama3":[214],"model":[215],"achieves":[217],"an":[218],"overall":[219],"performance":[220],"0.85":[222],"F1.":[223]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-24T00:00:00"}