{"id":"https://openalex.org/W3035462670","doi":"https://doi.org/10.1109/fuzz48607.2020.9177836","title":"Using Fuzzy Set Similarity in Sentence Similarity Measures","display_name":"Using Fuzzy Set Similarity in Sentence Similarity Measures","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3035462670","doi":"https://doi.org/10.1109/fuzz48607.2020.9177836","mag":"3035462670"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://e-space.mmu.ac.uk/625507/1/CROSS-IEEE2020Submitted%20%281%29.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028656638","display_name":"Valerie Cross","orcid":null},"institutions":[{"id":"https://openalex.org/I83328450","display_name":"Miami University","ror":"https://ror.org/05nbqxr67","country_code":"US","type":"education","lineage":["https://openalex.org/I83328450"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Valerie Cross","raw_affiliation_strings":["Computer Science and Software Engineering, Miami University, Oxford, OH, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, Miami University, Oxford, OH, USA","institution_ids":["https://openalex.org/I83328450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017660372","display_name":"Valeria Mokrenko","orcid":null},"institutions":[{"id":"https://openalex.org/I83328450","display_name":"Miami University","ror":"https://ror.org/05nbqxr67","country_code":"US","type":"education","lineage":["https://openalex.org/I83328450"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Valeria Mokrenko","raw_affiliation_strings":["Computer Science and Software Engineering, Miami University, Oxford, OH, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering, Miami University, Oxford, OH, USA","institution_ids":["https://openalex.org/I83328450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084629312","display_name":"Keeley Crockett","orcid":"https://orcid.org/0000-0003-1941-6201"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Keeley Crockett","raw_affiliation_strings":["Computational Intelligence Lab Manchester Metropolitan University, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Lab Manchester Metropolitan University, Manchester, UK","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049868897","display_name":"Naeemeh Adel","orcid":"https://orcid.org/0000-0003-4449-7410"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Naeemeh Adel","raw_affiliation_strings":["Department of Computing and Maths, Manchester Metropolitan University, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Maths, Manchester Metropolitan University, Manchester, UK","institution_ids":["https://openalex.org/I11983389"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028656638"],"corresponding_institution_ids":["https://openalex.org/I83328450"],"apc_list":null,"apc_paid":null,"fwci":1.0874,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82625771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.998199999332428,"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/wordnet","display_name":"WordNet","score":0.8201647996902466},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.8160102367401123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6853959560394287},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6693663001060486},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6059632301330566},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5184175968170166},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.516987681388855},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5009148120880127},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4597494900226593},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.44869306683540344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41953808069229126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3730725049972534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.052033811807632446}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.8201647996902466},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.8160102367401123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6853959560394287},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6693663001060486},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6059632301330566},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5184175968170166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.516987681388855},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5009148120880127},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4597494900226593},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.44869306683540344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41953808069229126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3730725049972534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.052033811807632446}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz48607.2020.9177836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:e-space.mmu.ac.uk:625507","is_oa":true,"landing_page_url":"https://e-space.mmu.ac.uk/view/authors/21ce2b0bfdffc75e5fdcb68d6aabc24f.html>","pdf_url":"https://e-space.mmu.ac.uk/625507/1/CROSS-IEEE2020Submitted%20%281%29.pdf","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":{"id":"pmh:oai:e-space.mmu.ac.uk:625507","is_oa":true,"landing_page_url":"https://e-space.mmu.ac.uk/view/authors/21ce2b0bfdffc75e5fdcb68d6aabc24f.html>","pdf_url":"https://e-space.mmu.ac.uk/625507/1/CROSS-IEEE2020Submitted%20%281%29.pdf","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035462670.pdf","grobid_xml":"https://content.openalex.org/works/W3035462670.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1787190784","https://openalex.org/W1964543474","https://openalex.org/W2037940305","https://openalex.org/W2056008172","https://openalex.org/W2121184547","https://openalex.org/W2123457740","https://openalex.org/W2758088807","https://openalex.org/W2898007677","https://openalex.org/W2979427078","https://openalex.org/W4285719527","https://openalex.org/W6744625895"],"related_works":["https://openalex.org/W2043952800","https://openalex.org/W2047143235","https://openalex.org/W2957377172","https://openalex.org/W2165693052","https://openalex.org/W2164877079","https://openalex.org/W2113471940","https://openalex.org/W2569513598","https://openalex.org/W2907883452","https://openalex.org/W101928771","https://openalex.org/W2251695880"],"abstract_inverted_index":{"Sentence":[0],"similarity":[1,4,12,33,63,70,95,124,135,165,171,183],"measures":[2,125,172],"the":[3,22,38,41,44,48,68,92,108,115,127,131,163],"between":[5,14,40,126,173],"two":[6,23],"blocks":[7,24],"of":[8,17,25,110,133,148],"text.":[9],"A":[10],"semantic":[11,62,94,182],"measure":[13,96],"individual":[15],"pairs":[16],"words,":[18,50,55],"each":[19],"taken":[20],"from":[21],"text,":[26],"has":[27],"been":[28],"used":[29,66,97],"in":[30,43,59,67,98,130,162],"STASIS.":[31],"Word":[32],"is":[34,139,157],"measured":[35],"based":[36,141],"on":[37,142],"distance":[39],"words":[42,78,117,129,178],"WordNet":[45,99],"ontology.":[46],"If":[47],"vague":[49,77],"referred":[51],"to":[52,87],"as":[53],"fuzzy":[54,80,116,122,128,169,174,177,187],"are":[56],"not":[57,158],"found":[58],"WordNet,":[60],"their":[61,143],"cannot":[64],"be":[65,102],"sentence":[69,134,149,164],"measure.":[71],"FAST":[72,181],"and":[73,84,118,179],"FUSE":[74],"transform":[75],"these":[76],"into":[79],"set":[81,123,170],"representations,":[82],"type-1":[83],"type-2":[85],"respectively,":[86],"create":[88],"ontological":[89],"structures":[90],"where":[91],"same":[93],"can":[100],"then":[101],"used.":[103],"This":[104],"paper":[105],"investigates":[106],"eliminating":[107],"process":[109],"building":[111],"an":[112],"ontology":[113],"with":[114,145],"instead":[119],"directly":[120],"using":[121,168,180],"task":[132],"measurement.":[136],"Their":[137],"performance":[138],"evaluated":[140],"correlation":[144],"human":[146],"judgments":[147],"similarity.":[150],"In":[151],"addition,":[152],"statistical":[153],"tests":[154],"showed":[155],"there":[156],"any":[159],"significant":[160],"difference":[161],"values":[166],"produced":[167],"sets":[175],"representing":[176,186],"within":[184],"ontologies":[185],"words.":[188]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}