{"id":"https://openalex.org/W7117696834","doi":"https://doi.org/10.48550/arxiv.2512.23504","title":"Automatic Detection of Complex Quotation Patterns in Aggadic Literature","display_name":"Automatic Detection of Complex Quotation Patterns in Aggadic Literature","publication_year":2025,"publication_date":"2025-12-29","ids":{"openalex":"https://openalex.org/W7117696834","doi":"https://doi.org/10.48550/arxiv.2512.23504"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2512.23504","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.23504","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2512.23504","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019250209","display_name":"Hadar Miller","orcid":"https://orcid.org/0000-0001-7914-7299"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Miller, Hadar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121648094","display_name":"Tsvi Kuflik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuflik, Tsvi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011458000","display_name":"Moshe Lavee","orcid":"https://orcid.org/0000-0001-9077-6176"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lavee, Moshe","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019250209"],"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/T13629","display_name":"Text Readability and Simplification","score":0.18119999766349792,"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/T13629","display_name":"Text Readability and Simplification","score":0.18119999766349792,"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":0.13570000231266022,"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/T12377","display_name":"Digital Humanities and Scholarship","score":0.08869999647140503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6917999982833862},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4968000054359436},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.47760000824928284},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.45579999685287476},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.43869999051094055},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.36980000138282776},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.34150001406669617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7142999768257141},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6917999982833862},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.47760000824928284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45660001039505005},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.45579999685287476},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4422000050544739},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.43869999051094055},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36980000138282776},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33809998631477356},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.337799996137619},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C11192451","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Stylometry","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2512.23504","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.23504","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2512.23504","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.23504","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8631987571716309}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,161],"paper":[1],"presents":[2],"ACT":[3,36,79,93,183],"(Allocate":[4],"Connections":[5],"between":[6,134,175],"Texts),":[7],"a":[8,38,43,132,185],"novel":[9],"three-stage":[10],"algorithm":[11,41],"for":[12,155,187],"the":[13,83,91,172],"automatic":[14],"detection":[15,178],"of":[16,85,103],"biblical":[17],"quotations":[18],"in":[19,124,190,195],"Rabbinic":[20],"literature.":[21,203],"Unlike":[22],"existing":[23],"text":[24],"reuse":[25],"frameworks":[26],"that":[27,47,90],"struggle":[28],"with":[29,42,105],"short,":[30],"paraphrased,":[31],"or":[32],"structurally":[33],"embedded":[34],"quotations,":[35],"combines":[37],"morphology-aware":[39],"alignment":[40],"context-sensitive":[44],"enrichment":[45],"stage":[46],"identifies":[48],"complex":[49],"citation":[50],"patterns":[51,149],"such":[52],"as":[53,69,71],"\"Wave\"":[54],"and":[55,109,136,158,167,179,198],"\"Echo\"":[56],"quotations.":[57],"Our":[58],"approach":[59],"was":[60],"evaluated":[61],"against":[62],"leading":[63],"systems,":[64],"including":[65],"Dicta,":[66],"Passim,":[67],"Text-Matcher,":[68],"well":[70],"human-annotated":[72],"critical":[73],"editions.":[74],"We":[75],"further":[76],"assessed":[77],"three":[78],"configurations":[80],"to":[81,140,146,164],"isolate":[82],"contribution":[84],"each":[86],"component.":[87],"Results":[88],"demonstrate":[89],"full":[92],"pipeline":[94],"(ACT-QE)":[95],"outperforms":[96],"all":[97],"baselines,":[98],"achieving":[99],"an":[100],"F1":[101],"score":[102],"0.91,":[104],"superior":[106],"Recall":[107,120],"(0.89)":[108],"Precision":[110],"(0.94).":[111],"Notably,":[112],"ACT-2,":[113],"which":[114],"lacks":[115],"stylistic":[116,148],"enrichment,":[117],"achieves":[118],"higher":[119],"(0.90)":[121],"but":[122],"suffers":[123],"Precision,":[125],"while":[126],"ACT-3,":[127],"using":[128],"longer":[129],"n-grams,":[130],"offers":[131],"tradeoff":[133],"coverage":[135],"specificity.":[137],"In":[138],"addition":[139],"improving":[141],"quotation":[142],"detection,":[143],"ACT's":[144],"ability":[145],"classify":[147],"across":[150],"corpora":[151],"opens":[152],"new":[153],"avenues":[154],"genre":[156],"classification":[157],"intertextual":[159],"analysis.":[160],"work":[162],"contributes":[163],"digital":[165],"humanities":[166],"computational":[168],"philology":[169],"by":[170],"addressing":[171],"methodological":[173],"gap":[174],"exhaustive":[176],"machine-based":[177],"human":[180],"editorial":[181],"judgment.":[182],"lays":[184],"foundation":[186],"broader":[188],"applications":[189],"historical":[191],"textual":[192],"analysis,":[193],"especially":[194],"morphologically":[196],"rich":[197],"citation-dense":[199],"traditions":[200],"like":[201],"Aggadic":[202]},"counts_by_year":[],"updated_date":"2025-12-31T23:15:30.938425","created_date":"2025-12-31T00:00:00"}