{"id":"https://openalex.org/W2953702336","doi":"https://doi.org/10.18653/v1/w19-2511","title":"Semantics and Homothetic Clustering of Hafez Poetry","display_name":"Semantics and Homothetic Clustering of Hafez Poetry","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2953702336","doi":"https://doi.org/10.18653/v1/w19-2511","mag":"2953702336"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-2511","pdf_url":"https://www.aclweb.org/anthology/W19-2511.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.aclweb.org/anthology/W19-2511.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006363388","display_name":"Arya Rahgozar","orcid":"https://orcid.org/0000-0002-2127-2449"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Arya Rahgozar","raw_affiliation_strings":["School of Engineering and Computer Science University of Ottawa, Canada 800 King Edward Ave. Ottawa, ON, K1N 6N5"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science University of Ottawa, Canada 800 King Edward Ave. Ottawa, ON, K1N 6N5","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009188443","display_name":"Diana Inkpen","orcid":"https://orcid.org/0000-0002-0202-2444"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Diana Inkpen","raw_affiliation_strings":["School of Engineering and Computer Science University of Ottawa, Canada 800 King Edward Ave. Ottawa, ON, K1N 6N5"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science University of Ottawa, Canada 800 King Edward Ave. Ottawa, ON, K1N 6N5","institution_ids":["https://openalex.org/I153718931"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006363388"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":0.264,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":5,"citation_normalized_percentile":{"value":0.614729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":81},"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"90"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9988,"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/T10028","display_name":"Topic Modeling","score":0.9988,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9972,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9966,"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/homothetic-transformation","display_name":"Homothetic transformation","score":0.8992107},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.57023436},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5253522}],"concepts":[{"id":"https://openalex.org/C91709909","wikidata":"https://www.wikidata.org/wiki/Q583960","display_name":"Homothetic transformation","level":2,"score":0.8992107},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7700608},{"id":"https://openalex.org/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.6308004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.58835477},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.57023436},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5636163},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5253522},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46933097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46742174},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4392331},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3620623},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35129565},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3085116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23497859},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.09962964},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-2511","pdf_url":"https://www.aclweb.org/anthology/W19-2511.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w19-2511","pdf_url":"https://www.aclweb.org/anthology/W19-2511.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.72,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":25,"referenced_works":["https://openalex.org/W130850236","https://openalex.org/W145425800","https://openalex.org/W1614298861","https://openalex.org/W168564468","https://openalex.org/W1880262756","https://openalex.org/W1965154800","https://openalex.org/W1983719983","https://openalex.org/W2013940188","https://openalex.org/W2090491854","https://openalex.org/W2111346607","https://openalex.org/W2115221470","https://openalex.org/W2121227244","https://openalex.org/W2131744502","https://openalex.org/W2136408237","https://openalex.org/W2145071590","https://openalex.org/W2147152072","https://openalex.org/W2158794898","https://openalex.org/W2160170318","https://openalex.org/W2165599843","https://openalex.org/W2250237919","https://openalex.org/W2462702302","https://openalex.org/W2515488270","https://openalex.org/W2613540493","https://openalex.org/W2950577311","https://openalex.org/W656896077"],"related_works":["https://openalex.org/W4297347837","https://openalex.org/W4293363371","https://openalex.org/W4225120462","https://openalex.org/W2565332230","https://openalex.org/W2554988463","https://openalex.org/W2371284713","https://openalex.org/W2363111017","https://openalex.org/W1994989603","https://openalex.org/W1552672949","https://openalex.org/W1547622062"],"abstract_inverted_index":{"We":[0,38,64],"have":[1,39,110,115],"created":[2],"two":[3],"sets":[4],"of":[5,29,46,69,82,86,142],"labels":[6,15,49],"for":[7,35,138],"Hafez":[8,30],"(1315-1390)":[9],"poems,":[10,31],"using":[11],"unsupervised":[12],"learning.":[13],"Our":[14,54,125],"are":[16,56],"the":[17,23,44],"only":[18],"semantic":[19,140],"clustering":[20,48,75],"alternative":[21,121],"to":[22,32,109,122],"previously":[24],"existing,":[25],"hand-labeled,":[26],"gold-standard":[27],"classification":[28],"be":[33,136],"used":[34,137],"literary":[36,148],"research.":[37,149],"cross-referenced,":[40],"measured":[41],"and":[42,61,114,128,132,145],"analyzed":[43],"agreements":[45],"our":[47,90],"with":[50,97],"Houman's":[51,98,123],"chronological":[52],"classes.":[53,124],"features":[55],"based":[57],"on":[58],"topic":[59],"modeling":[60],"word":[62],"embeddings.":[63],"also":[65],"introduced":[66],"a":[67,119],"similarity":[68],"similarities'":[70],"features,":[71],"we":[72,100],"called":[73],"homothetic":[74,126],"approach":[76],"that":[77],"proved":[78,116],"effective,":[79],"in":[80,105],"case":[81],"Hafez's":[83,143],"small":[84],"corpus":[85],"ghazals2.":[87],"Although":[88],"all":[89],"experiments":[91],"showed":[92],"different":[93],"clusters":[94],"when":[95],"compared":[96],"classes,":[99],"think":[101],"they":[102],"were":[103],"valid":[104],"their":[106],"own":[107],"right":[108],"provided":[111],"further":[112,139],"insights,":[113],"useful":[117],"as":[118],"contrasting":[120],"clusterer":[127],"its":[129],"feature":[130],"design":[131],"engineering":[133],"framework":[134],"can":[135],"analysis":[141],"poetry":[144],"other":[146],"similar":[147]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2953702336","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-01-19T14:59:58.450076","created_date":"2019-07-12"}