{"id":"https://openalex.org/W2953411641","doi":"https://doi.org/10.1109/access.2019.2925006","title":"UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method","display_name":"UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2953411641","doi":"https://doi.org/10.1109/access.2019.2925006","mag":"2953411641"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2925006","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2925006","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08746255.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08746255.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031429382","display_name":"Basma M. Hassan","orcid":"https://orcid.org/0000-0002-5040-2935"},"institutions":[{"id":"https://openalex.org/I66513531","display_name":"Fayoum University","ror":"https://ror.org/023gzwx10","country_code":"EG","type":"education","lineage":["https://openalex.org/I66513531"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Basma Hassan","raw_affiliation_strings":["Computer Science Department, Faculty of Computers and Information, Fayoum University, Fayoum, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-5040-2935","affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Information, Fayoum University, Fayoum, Egypt","institution_ids":["https://openalex.org/I66513531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025877685","display_name":"Samir Abdelrahman","orcid":"https://orcid.org/0000-0001-6396-3259"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Samir E. Abdelrahman","raw_affiliation_strings":["Computer Science Department, Faculty of Computers and Information, Cairo University, Giza, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-6396-3259","affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Information, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034377835","display_name":"Reem Bahgat","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Reem Bahgat","raw_affiliation_strings":["Computer Science Department, Faculty of Computers and Information, Cairo University, Giza, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Information, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024330030","display_name":"Ibrahim Farag","orcid":"https://orcid.org/0000-0002-5732-4108"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ibrahim Farag","raw_affiliation_strings":["Computer Science Department, Faculty of Computers and Information, Cairo University, Giza, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Computers and Information, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.8799,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.89368659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"85462","last_page":"85482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.7979499101638794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5927222967147827},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5919082164764404},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5486838817596436},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47259482741355896},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4363839626312256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35803186893463135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979499101638794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5927222967147827},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5919082164764404},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5486838817596436},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47259482741355896},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4363839626312256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35803186893463135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2925006","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2925006","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08746255.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:28e516f6122e464ab96d5b7759f86b13","is_oa":true,"landing_page_url":"https://doaj.org/article/28e516f6122e464ab96d5b7759f86b13","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 85462-85482 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2925006","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2925006","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08746255.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2953411641.pdf","grobid_xml":"https://content.openalex.org/works/W2953411641.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1171471126","https://openalex.org/W1510073064","https://openalex.org/W1647729745","https://openalex.org/W1748393397","https://openalex.org/W2000706889","https://openalex.org/W2098162425","https://openalex.org/W2100935296","https://openalex.org/W2101234009","https://openalex.org/W2101287987","https://openalex.org/W2102153514","https://openalex.org/W2111251160","https://openalex.org/W2120699290","https://openalex.org/W2120814856","https://openalex.org/W2121184547","https://openalex.org/W2123442489","https://openalex.org/W2126400076","https://openalex.org/W2131151781","https://openalex.org/W2133458109","https://openalex.org/W2136480620","https://openalex.org/W2141255854","https://openalex.org/W2142120379","https://openalex.org/W2152180407","https://openalex.org/W2162130683","https://openalex.org/W2164413279","https://openalex.org/W2165979181","https://openalex.org/W2169647667","https://openalex.org/W2185606683","https://openalex.org/W2250418535","https://openalex.org/W2250825496","https://openalex.org/W2251044566","https://openalex.org/W2251291469","https://openalex.org/W2251642297","https://openalex.org/W2251797829","https://openalex.org/W2251803266","https://openalex.org/W2251861449","https://openalex.org/W2461338233","https://openalex.org/W2462305634","https://openalex.org/W2464272265","https://openalex.org/W2469213564","https://openalex.org/W2534712034","https://openalex.org/W2585620645","https://openalex.org/W2626047032","https://openalex.org/W2739351760","https://openalex.org/W2751762827","https://openalex.org/W2752289368","https://openalex.org/W2753580119","https://openalex.org/W2753924560","https://openalex.org/W2764289230","https://openalex.org/W2771521924","https://openalex.org/W2950225692","https://openalex.org/W2963149412","https://openalex.org/W2963899155","https://openalex.org/W3104033643","https://openalex.org/W6636975626","https://openalex.org/W6675180176","https://openalex.org/W6675339850","https://openalex.org/W6675354045","https://openalex.org/W6675354770","https://openalex.org/W6677712588","https://openalex.org/W6679452921","https://openalex.org/W6682338420","https://openalex.org/W6691444529","https://openalex.org/W6691493741","https://openalex.org/W6691634304","https://openalex.org/W6691695795","https://openalex.org/W6745374236"],"related_works":["https://openalex.org/W4376653378","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349","https://openalex.org/W2898077673","https://openalex.org/W4385239468","https://openalex.org/W4200476258","https://openalex.org/W2022470916","https://openalex.org/W3201962287"],"abstract_inverted_index":{"Semantic":[0],"textual":[1],"similarity":[2,12,32,132,157],"(STS)":[3],"is":[4,93,180,197],"the":[5,9,26,30,42,53,76,125,153,172,175,184,188,192],"task":[6],"of":[7,11,18,124,155,174],"assessing":[8],"degree":[10],"between":[13,33],"two":[14],"texts":[15],"in":[16,25,41,75,178],"terms":[17],"meaning.":[19],"Several":[20],"approaches":[21,49,109,127],"have":[22],"been":[23,72],"proposed":[24,159,176,189],"literature":[27,43],"to":[28,136],"determine":[29],"semantic":[31,101],"texts.":[34],"The":[35,150,167],"most":[36],"promising":[37,199],"work":[38],"recently":[39],"presented":[40],"was":[44],"supervised":[45],"approaches.":[46,78],"Unsupervised":[47],"STS":[48,108,147,179],"are":[50,110,128,134],"characterized":[51],"by":[52,142],"fact":[54],"that":[55,171],"they":[56,63],"do":[57],"not":[58],"require":[59],"learning":[60],"data,":[61],"but":[62],"still":[64],"suffer":[65],"from":[66],"some":[67,122],"limitations.":[68],"Word":[69],"alignment":[70],"has":[71,84],"widely":[73],"used":[74],"state-of-the-art":[77,126,193],"From":[79],"this":[80,82],"point,":[81],"paper":[83],"three":[85,106],"contributions.":[86],"First,":[87],"a":[88,98,198],"new":[89],"synset-oriented":[90],"word":[91],"aligner":[92,177],"presented,":[94],"which":[95,196],"relies":[96],"on":[97],"huge":[99],"multilingual":[100],"network":[102],"named":[103],"BabelNet.":[104],"Second,":[105],"unsupervised":[107,145,194],"proposed:":[111],"string":[112],"kernel-based":[113],"(SK),":[114],"alignment-based":[115,119],"(AL),":[116],"and":[117,130,163],"weighted":[118],"(WAL).":[120],"Third,":[121],"limitations":[123],"tackled,":[129],"different":[131],"methods":[133],"demonstrated":[135],"be":[137],"complementary":[138],"with":[139],"each":[140],"other":[141],"proposing":[143],"an":[144],"ensemble":[146],"(UESTS)":[148],"approach.":[149],"UESTS":[151,190],"incorporates":[152],"merits":[154],"four":[156],"measures:":[158],"alignment-based,":[160],"surface-based,":[161],"corpus-based,":[162],"enhanced":[164],"edit":[165],"distance.":[166],"experimental":[168],"results":[169],"proved":[170],"participation":[173],"effective.":[181],"Over":[182],"all":[183],"evaluation":[185],"data":[186],"sets,":[187],"outperforms":[191],"approaches,":[195],"result.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}