{"id":"https://openalex.org/W4401337442","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611949","title":"Enriching Word Embeddings with Fuzzy Systems for Natural Language Processing Tasks","display_name":"Enriching Word Embeddings with Fuzzy Systems for Natural Language Processing Tasks","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401337442","doi":"https://doi.org/10.1109/fuzz-ieee60900.2024.10611949"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee60900.2024.10611949","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10611949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082545642","display_name":"Taniya Seth","orcid":"https://orcid.org/0000-0002-0560-4538"},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Taniya Seth","raw_affiliation_strings":["South Asian University,Department of Computer Science,New Delhi,India"],"affiliations":[{"raw_affiliation_string":"South Asian University,Department of Computer Science,New Delhi,India","institution_ids":["https://openalex.org/I90425906"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003623633","display_name":"Pranab K. Muhuri","orcid":"https://orcid.org/0000-0001-7122-7622"},"institutions":[{"id":"https://openalex.org/I90425906","display_name":"South Asian University","ror":"https://ror.org/02kjyst95","country_code":"IN","type":"education","lineage":["https://openalex.org/I90425906"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pranab K. Muhuri","raw_affiliation_strings":["South Asian University,Department of Computer Science,New Delhi,India"],"affiliations":[{"raw_affiliation_string":"South Asian University,Department of Computer Science,New Delhi,India","institution_ids":["https://openalex.org/I90425906"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082545642"],"corresponding_institution_ids":["https://openalex.org/I90425906"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09936879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.9986000061035156,"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":0.9986000061035156,"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":0.9983999729156494,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.8058938384056091},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6926645040512085},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6689767837524414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6072333455085754},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5818822979927063},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.48240458965301514},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.45108115673065186},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2399137318134308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8058938384056091},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6926645040512085},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6689767837524414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6072333455085754},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5818822979927063},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48240458965301514},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.45108115673065186},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2399137318134308},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee60900.2024.10611949","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10611949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1517428985","https://openalex.org/W1614298861","https://openalex.org/W1978062397","https://openalex.org/W2018113971","https://openalex.org/W2062706881","https://openalex.org/W2117827905","https://openalex.org/W2157041604","https://openalex.org/W2165094119","https://openalex.org/W2250539671","https://openalex.org/W2474884296","https://openalex.org/W2896457183","https://openalex.org/W2899930821","https://openalex.org/W2963026768","https://openalex.org/W2963626623","https://openalex.org/W4211007335","https://openalex.org/W4240278385","https://openalex.org/W4245152641","https://openalex.org/W4247749894","https://openalex.org/W4249749961","https://openalex.org/W6636510571","https://openalex.org/W6719819555"],"related_works":["https://openalex.org/W4283262748","https://openalex.org/W1569283511","https://openalex.org/W2502773048","https://openalex.org/W4252362398","https://openalex.org/W4236193183","https://openalex.org/W2053866214","https://openalex.org/W2296205523","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837"],"abstract_inverted_index":{"Word":[0],"embeddings":[1,142],"play":[2],"a":[3,15,26,72,123,131,149],"crucial":[4],"role":[5],"in":[6,48,116,135],"various":[7],"NLP-based":[8,136],"downstream":[9],"tasks":[10],"by":[11,20,138],"mapping":[12],"words":[13,37],"onto":[14],"relevant":[16,150],"space,":[17],"primarily":[18],"determined":[19],"their":[21,40],"co-occurrences":[22,85],"and":[23,42,67],"similarities":[24],"within":[25,94],"given":[27],"context.":[28],"The":[29,113,145],"objective":[30],"is":[31],"to":[32,62,81,125,157],"capture":[33],"the":[34,56,89,100,159],"meaning":[35],"of":[36,92,102,143,154],"based":[38],"on":[39],"context":[41],"relationships":[43],"with":[44],"other":[45],"words.":[46],"However,":[47],"practice,":[49],"these":[50],"meanings":[51],"often":[52],"fall":[53],"short,":[54],"as":[55,122,152],"underlying":[57],"semantics":[58],"are":[59],"intricately":[60],"tied":[61],"human":[63],"perception,":[64],"alongside":[65],"ambiguity":[66],"vagueness.":[68],"In":[69],"essence,":[70],"identifying":[71],"word":[73,105,127,141],"requires":[74],"not":[75],"only":[76],"considering":[77],"its":[78],"context,":[79],"similarity":[80],"nearby":[82],"words,":[83],"or":[84],"but":[86],"also":[87,147],"incorporating":[88,139],"actual":[90],"understandings":[91],"individuals":[93],"those":[95],"contexts.":[96],"This":[97],"paper":[98,118,146],"addresses":[99],"limitations":[101],"existing":[103],"well-known":[104],"embedding":[106],"techniques,":[107],"which":[108],"overlook":[109],"such":[110],"nuanced":[111],"competencies.":[112],"provided":[114],"discussion":[115],"this":[117],"introduces":[119],"fuzzy":[120],"uncertainties":[121],"method":[124],"enhance":[126],"embeddings,":[128],"aiming":[129],"for":[130],"more":[132],"practical":[133],"application":[134],"solutions":[137],"rich":[140],"quality.":[144],"examines":[148],"example":[151],"part":[153],"an":[155],"effort":[156],"encourage":[158],"enhancements":[160],"discussed.":[161]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}