{"id":"https://openalex.org/W7164015315","doi":"https://doi.org/10.48550/arxiv.2606.07522","title":"Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models","display_name":"Community-Specific Slang and Entity Detection via Semantic Shift in Fine-Tuned Language Models","publication_year":2026,"publication_date":"2026-04-19","ids":{"openalex":"https://openalex.org/W7164015315","doi":"https://doi.org/10.48550/arxiv.2606.07522"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.07522","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07522","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.07522","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138266324","display_name":"Julia Kruk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kruk, Julia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002703519","display_name":"Sanchita Porwal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Porwal, Sanchita","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045462143","display_name":"Amitrajit Bhattacharjee","orcid":"https://orcid.org/0009-0000-4713-1786"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhattacharjee, Amitrajit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138204453","display_name":"Mansi Phute","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Phute, Mansi","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/T12380","display_name":"Authorship Attribution and Profiling","score":0.47620001435279846,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.47620001435279846,"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":0.15629999339580536,"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"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.04349999874830246,"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/cosine-similarity","display_name":"Cosine similarity","score":0.6559000015258789},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6306999921798706},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.5892000198364258},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5299000144004822},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5135999917984009},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.49939998984336853},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4959999918937683},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.3937000036239624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7527999877929688},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7526999711990356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7166000008583069},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.6559000015258789},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6306999921798706},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.5892000198364258},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5299000144004822},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5135999917984009},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4959999918937683},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C2779901982","wikidata":"https://www.wikidata.org/wiki/Q8102","display_name":"Slang","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C67277372","wikidata":"https://www.wikidata.org/wiki/Q7449085","display_name":"Semantic role labeling","level":3,"score":0.28850001096725464},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2768000066280365},{"id":"https://openalex.org/C198942812","wikidata":"https://www.wikidata.org/wiki/Q496618","display_name":"Semantic property","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2639999985694885},{"id":"https://openalex.org/C2777776507","wikidata":"https://www.wikidata.org/wiki/Q4807054","display_name":"Lexico","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C36391188","wikidata":"https://www.wikidata.org/wiki/Q1939117","display_name":"Semantic change","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.07522","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07522","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.07522","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07522","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":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7137713432312012,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,81],"propose":[1],"an":[2],"unsupervised":[3],"method":[4],"of":[5,26,36,44,72,100,139],"resolving":[6],"slang,":[7],"unique":[8,116],"entities,":[9],"and":[10,75,106],"folklore":[11],"from":[12,90],"online":[13],"communities":[14],"by":[15,121],"isolating":[16],"words":[17,113,140],"in":[18,124,134],"the":[19,23,34,63,67,83,104,119,125,135],"lexicon":[20],"that":[21,108,114,132,141],"have":[22,115],"highest":[24],"magnitude":[25],"semantic":[27],"shift.":[28],"Semantic":[29],"shift":[30],"is":[31,59],"defined":[32],"as":[33,41],"evolution":[35],"a":[37,42,46,53,73,76,98],"word's":[38],"encoded":[39,70,79],"representation":[40,71],"result":[43],"fine-tuning":[45],"pretrained":[47],"Large":[48],"Language":[49],"Model":[50],"(LLM)":[51],"on":[52,86],"community-specific":[54],"text":[55,87],"corpus.":[56],"This":[57],"value":[58],"inversely":[60],"proportional":[61],"to":[62,118],"cosine":[64,101],"similarity":[65,102],"between":[66],"base":[68],"model's":[69,78],"word,":[74],"fine-tuned":[77],"representation.":[80],"fine-tune":[82],"DistilRoBERTa":[84],"model":[85,97],"corpora":[88],"collected":[89],"3":[91],"Reddit":[92],"subreddits":[93],"(r/Technology,":[94],"r/Gaming,":[95],"r/WorldofWarcraft),":[96],"distribution":[99],"over":[103],"lexicon,":[105],"show":[107,131],"one":[109],"can":[110],"successfully":[111],"resolve":[112],"significance":[117],"community":[120],"pulling":[122],"data":[123,133],"bottom":[126],"10-percentile.":[127],"In":[128],"contrast,":[129],"we":[130],"top":[136],"10-percentile":[137],"consist":[138],"carry":[142],"relatively":[143],"universal":[144],"semantics.":[145]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-10T00:00:00"}