{"id":"https://openalex.org/W3096082174","doi":"https://doi.org/10.1145/3404854","title":"A Link Prediction Approach for Accurately Mapping a Large-scale Arabic Lexical Resource to English WordNet","display_name":"A Link Prediction Approach for Accurately Mapping a Large-scale Arabic Lexical Resource to English WordNet","publication_year":2020,"publication_date":"2020-10-13","ids":{"openalex":"https://openalex.org/W3096082174","doi":"https://doi.org/10.1145/3404854","mag":"3096082174"},"language":"en","primary_location":{"id":"doi:10.1145/3404854","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404854","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-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/A5084025527","display_name":"Gilbert Badaro","orcid":"https://orcid.org/0000-0002-7277-617X"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":true,"raw_author_name":"Gilbert Badaro","raw_affiliation_strings":["American University of Beirut, Lebanon"],"affiliations":[{"raw_affiliation_string":"American University of Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088085383","display_name":"Hazem Hajj","orcid":"https://orcid.org/0000-0002-9954-7924"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Hazem Hajj","raw_affiliation_strings":["American University of Beirut, Lebanon"],"affiliations":[{"raw_affiliation_string":"American University of Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084517393","display_name":"Nizar Habash","orcid":"https://orcid.org/0000-0002-1831-3457"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nizar Habash","raw_affiliation_strings":["New York University Abu Dhabi, Abu Dhabi, UAE"],"affiliations":[{"raw_affiliation_string":"New York University Abu Dhabi, Abu Dhabi, UAE","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084025527"],"corresponding_institution_ids":["https://openalex.org/I98635879"],"apc_list":null,"apc_paid":null,"fwci":1.3718,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85604756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":"6","first_page":"1","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":1.0,"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/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/T13629","display_name":"Text Readability and Simplification","score":0.9941999912261963,"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":0.9280797243118286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8480411767959595},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7557072639465332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6482780575752258},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.6133914589881897},{"id":"https://openalex.org/keywords/transliteration","display_name":"Transliteration","score":0.5735596418380737},{"id":"https://openalex.org/keywords/lexical-database","display_name":"Lexical database","score":0.5317133069038391},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41193145513534546}],"concepts":[{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.9280797243118286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8480411767959595},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7557072639465332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6482780575752258},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.6133914589881897},{"id":"https://openalex.org/C520968082","wikidata":"https://www.wikidata.org/wiki/Q134550","display_name":"Transliteration","level":2,"score":0.5735596418380737},{"id":"https://openalex.org/C2780403423","wikidata":"https://www.wikidata.org/wiki/Q6537700","display_name":"Lexical database","level":3,"score":0.5317133069038391},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41193145513534546},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404854","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404854","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1525618996","display_name":null,"funder_award_id":"NPRP 6-716-1-138","funder_id":"https://openalex.org/F4320332753","funder_display_name":"Qatar National Research Fund"}],"funders":[{"id":"https://openalex.org/F4320332753","display_name":"Qatar National Research Fund","ror":"https://ror.org/01svaqq28"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W37461795","https://openalex.org/W139773487","https://openalex.org/W172345128","https://openalex.org/W1126420929","https://openalex.org/W1524281572","https://openalex.org/W1538021842","https://openalex.org/W1561908597","https://openalex.org/W1933546049","https://openalex.org/W1984708705","https://openalex.org/W1993833738","https://openalex.org/W2009724631","https://openalex.org/W2024226786","https://openalex.org/W2031998113","https://openalex.org/W2041689999","https://openalex.org/W2043287290","https://openalex.org/W2052307613","https://openalex.org/W2087045154","https://openalex.org/W2098603082","https://openalex.org/W2102381086","https://openalex.org/W2120699290","https://openalex.org/W2127751640","https://openalex.org/W2177040365","https://openalex.org/W2250645093","https://openalex.org/W2250734458","https://openalex.org/W2251526503","https://openalex.org/W2252067416","https://openalex.org/W2327415498","https://openalex.org/W2484386651","https://openalex.org/W2516105622","https://openalex.org/W2587163726","https://openalex.org/W2607347529","https://openalex.org/W2615499310","https://openalex.org/W2618735189","https://openalex.org/W2625475744","https://openalex.org/W2742123861","https://openalex.org/W2750939699","https://openalex.org/W2771841020","https://openalex.org/W2799915114","https://openalex.org/W2806028205","https://openalex.org/W2807136170","https://openalex.org/W2909471801","https://openalex.org/W2913360413","https://openalex.org/W2944780533","https://openalex.org/W3007107944","https://openalex.org/W3127191965","https://openalex.org/W6605711713"],"related_works":["https://openalex.org/W2163292279","https://openalex.org/W2040624659","https://openalex.org/W3196687212","https://openalex.org/W2749919855","https://openalex.org/W4241608514","https://openalex.org/W2321197640","https://openalex.org/W1209047547","https://openalex.org/W1515748455","https://openalex.org/W2069398544","https://openalex.org/W2135707795"],"abstract_inverted_index":{"Success":[0],"of":[1,30,59,69,108,127,204,216,230,302,323,337,391,414],"Natural":[2,39],"Language":[3,40],"Processing":[4],"(NLP)":[5],"models,":[6,13],"just":[7],"like":[8],"all":[9],"advanced":[10],"machine":[11],"learning":[12],"rely":[14],"heavily":[15],"on":[16,104,426],"large":[17],"-scale":[18],"lexical":[19,72,94],"resources.":[20],"For":[21,435],"English,":[22],"English":[23,185,335],"WordNet":[24,122],"(EWN)":[25],"is":[26,244,264],"a":[27,31,79,155,247,252,259,267,281,286,324,359,370,411],"leading":[28],"example":[29],"large-scale":[32,91,233,253,295,361],"resource":[33,297],"that":[34,159,178,199,364],"has":[35,129,212],"enabled":[36],"advances":[37],"in":[38,89,118,132,135,154,171,201,261,269,293,358],"Understanding":[41],"(NLU)":[42],"tasks":[43],"such":[44,109],"as":[45,246,369],"word":[46,260,268],"sense":[47],"disambiguation,":[48],"question":[49],"answering,":[50],"sentiment":[51,376,443],"analysis,":[52],"and":[53,71,74,92,134,163,194,198,238,256,298,309,315,352,385,398,418,445],"emotion":[54],"recognition.":[55],"EWN":[56,195,308],"includes":[57],"sets":[58],"cognitive":[60],"synonyms":[61],"called":[62,157],"synsets,":[63],"which":[64,139],"are":[65,85,140,276],"interlinked":[66],"by":[67,289],"means":[68],"conceptual-semantic":[70],"relations":[73],"where":[75,258,328],"each":[76],"synset":[77,196],"expresses":[78],"distinct":[80],"concept.":[81],"However,":[82],"other":[83,217],"languages":[84],"still":[86],"lagging":[87],"behind":[88],"having":[90,232],"rich":[93],"resources":[95,110],"similar":[96],"to":[97,174,207,221,266,284,307,340,372,395,404,432,452],"EWN.":[98],"In":[99],"this":[100],"article,":[101],"we":[102,365],"focus":[103],"enabling":[105],"the":[106,124,161,164,175,184,188,241,273,294,321,329,373,389,392,427],"development":[107],"for":[111,142,150,313,442],"Arabic.":[112],"While":[113],"there":[114,211],"have":[115],"been":[116,213],"efforts":[117,149],"developing":[119],"an":[120],"Arabic":[121,145,190,205,254,296,362],"(AWN),":[123],"current":[125],"version":[126],"AWN":[128,152],"its":[130],"limitations":[131,229],"size":[133,162,234],"lacking":[136],"transliteration":[137,165],"standards,":[138],"important":[141],"compatibility":[143],"with":[144,235],"NLP":[146],"tools.":[147],"Previous":[148],"extending":[151],"resulted":[153,200],"lexicon,":[156],"ArSenL,":[158,407],"overcame":[160],"standard":[166,239],"limitation":[167],"but":[168],"was":[169,440],"limited":[170,214],"accuracy":[172,237,425,450],"due":[173,220],"heuristic":[176],"approach":[177,283],"only":[179],"considered":[180],"surface":[181,347],"matching":[182],"between":[183,251,349],"definitions":[186],"from":[187],"Standard":[189],"Morphological":[191],"Analyzer":[192],"(SAMA)":[193],"terms,":[197],"inaccurate":[202],"mapping":[203,242],"lemmas":[206],"EWN\u2019s":[208,341,353],"synsets.":[209,342,354],"Furthermore,":[210],"exploration":[215],"expansion":[218],"methods":[219],"expensive":[222],"manual":[223],"validation":[224],"needed.":[225],"To":[226],"address":[227],"these":[228],"simultaneously":[231],"high":[236],"representations,":[240],"problem":[243,250],"formulated":[245],"link":[248,400],"prediction":[249,317,401],"lexicon":[255,263,271,363,377],"EWN,":[257],"one":[262],"linked":[265,306],"another":[270],"if":[272],"two":[274],"words":[275],"semantically":[277],"related.":[278],"We":[279,319],"use":[280,322],"semi-supervised":[282],"create":[285],"training":[287,314],"dataset":[288],"finding":[290],"common":[291],"terms":[292,339],"AWN.":[299],"This":[300],"set":[301,413],"data":[303,430],"becomes":[304],"implicitly":[305],"can":[310],"be":[311],"used":[312,441],"evaluating":[316],"models.":[318],"propose":[320],"two-step":[325],"Boosting":[326],"method,":[327],"first":[330],"step":[331,345],"aims":[332],"at":[333],"linking":[334,424],"translations":[336],"SAMA\u2019s":[338,350],"The":[343,355],"second":[344],"uses":[346],"similarity":[348],"glosses":[351],"method":[356,393],"results":[357],"new":[360],"call":[366],"ArSenL":[367,408,438],"2.0":[368,409,439],"sequel":[371],"previously":[374,405],"developed":[375,406],"ArSenL.":[378,434,454],"A":[379],"comprehensive":[380],"study":[381],"covering":[382],"both":[383],"intrinsic":[384],"extrinsic":[386,436],"evaluations":[387],"shows":[388],"superiority":[390],"compared":[394,431,451],"several":[396],"baseline":[397],"state-of-the-art":[399],"methods.":[402],"Compared":[403],"included":[410],"larger":[412],"sentimentally":[415],"charged":[416],"adjectives":[417],"verbs.":[419],"It":[420],"also":[421],"showed":[422],"higher":[423,449],"ground":[428],"truth":[429],"previous":[433,453],"evaluation,":[437],"analysis":[444],"showed,":[446],"here,":[447],"too,":[448]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}