{"id":"https://openalex.org/W3011353546","doi":"https://doi.org/10.1109/aiccsa47632.2019.9035362","title":"Predicting Semantic Textual Similarity of Arabic Question Pairs using Deep Learning","display_name":"Predicting Semantic Textual Similarity of Arabic Question Pairs using Deep Learning","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3011353546","doi":"https://doi.org/10.1109/aiccsa47632.2019.9035362","mag":"3011353546"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa47632.2019.9035362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa47632.2019.9035362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)","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/A5039977300","display_name":"Omar Einea","orcid":"https://orcid.org/0000-0001-6575-3837"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Omar Einea","raw_affiliation_strings":["Dept. Computer Science, University of Sharjah, Sharjah, UAE"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, University of Sharjah, Sharjah, UAE","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069884464","display_name":"Ashraf Elnagar","orcid":"https://orcid.org/0000-0003-2265-7268"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ashraf Elnagar","raw_affiliation_strings":["Dept. Computer Science, University of Sharjah, Sharjah, UAE"],"affiliations":[{"raw_affiliation_string":"Dept. Computer Science, University of Sharjah, Sharjah, UAE","institution_ids":["https://openalex.org/I29891158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039977300"],"corresponding_institution_ids":["https://openalex.org/I29891158"],"apc_list":null,"apc_paid":null,"fwci":0.8401,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81230242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"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":0.9959999918937683,"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":0.9879000186920166,"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/semantic-similarity","display_name":"Semantic similarity","score":0.7714401483535767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7510325908660889},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7418025732040405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7285537123680115},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.6448818445205688},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6360275149345398},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38253581523895264},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19017863273620605}],"concepts":[{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.7714401483535767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7510325908660889},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7418025732040405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7285537123680115},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.6448818445205688},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6360275149345398},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38253581523895264},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19017863273620605},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa47632.2019.9035362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa47632.2019.9035362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W126290355","https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W2023014905","https://openalex.org/W2126400076","https://openalex.org/W2133458109","https://openalex.org/W2152180407","https://openalex.org/W2250387780","https://openalex.org/W2251558607","https://openalex.org/W2251861449","https://openalex.org/W2287978948","https://openalex.org/W2403108302","https://openalex.org/W2462305634","https://openalex.org/W2469060249","https://openalex.org/W2625475744","https://openalex.org/W2739351760","https://openalex.org/W2740664249","https://openalex.org/W2743040064","https://openalex.org/W2808633496","https://openalex.org/W2901770030","https://openalex.org/W2915240437","https://openalex.org/W2945830544","https://openalex.org/W2948589047","https://openalex.org/W2950577311","https://openalex.org/W2962765866","https://openalex.org/W2963149412","https://openalex.org/W3100299802","https://openalex.org/W3104033643","https://openalex.org/W6636510571","https://openalex.org/W6682338420","https://openalex.org/W6691235567","https://openalex.org/W6691695795","https://openalex.org/W6742850098","https://openalex.org/W6752515616","https://openalex.org/W6763043082"],"related_works":["https://openalex.org/W2900860068","https://openalex.org/W2564015900","https://openalex.org/W2963829519","https://openalex.org/W1801052627","https://openalex.org/W2110503409","https://openalex.org/W2974225181","https://openalex.org/W2038246283","https://openalex.org/W3018936175","https://openalex.org/W2186284405","https://openalex.org/W2781563147"],"abstract_inverted_index":{"Question":[0],"pairing":[1,88],"is":[2,17,49,65],"the":[3,40,60,73,86,98,102,120,140,146],"task":[4,58,89],"of":[5,34,42,111],"listing":[6],"similar":[7],"question-answer":[8,149],"pairs":[9],"to":[10,85],"a":[11,32,79,108],"query":[12],"question":[13,87],"automatically.":[14],"This":[15,76],"technique":[16],"used":[18],"by":[19,130],"famous":[20],"online":[21],"question-answering":[22],"forums":[23],"like":[24,72],"Quora":[25],"and":[26,29,113,145,156],"Stack":[27],"exchange,":[28],"has":[30],"gotten":[31],"lot":[33],"attention":[35],"lately":[36],"as":[37],"it":[38],"reduces":[39],"amount":[41],"duplicate":[43],"questions":[44,92],"on":[45,56,59,69,90,127,160],"such":[46],"topics.":[47],"That":[48],"why":[50],"there":[51,64],"are":[52],"many":[53],"researchers":[54],"working":[55],"this":[57],"English":[61],"language,":[62],"but":[63],"not":[66],"much":[67],"focus":[68],"other":[70],"languages":[71],"Arabic":[74,91],"language.":[75],"paper":[77],"introduces":[78],"deep":[80],"neural":[81],"networks":[82],"based":[83],"solution":[84],"using":[93],"minimal":[94],"pre-processing.":[95],"We":[96,106],"investigate":[97],"best":[99],"settings":[100],"for":[101],"proposed":[103,117,152],"DNN":[104],"model.":[105],"show":[107],"thorough":[109],"set":[110],"experiments":[112],"demonstrate":[114],"that":[115],"our":[116],"model":[118,153],"outperforms":[119],"few":[121],"existing":[122],"implementations":[123],"reported":[124],"in":[125,135],"literature":[126],"benchmark":[128],"datasets":[129],"no":[131],"less":[132],"than":[133],"10%":[134],"prediction":[136,158],"accuracy":[137,159],"measure.":[138],"Namely,":[139],"NSURL":[141],"2019":[142],"question-question":[143],"dataset":[144],"SemEval":[147],"2017":[148],"dataset.":[150],"Our":[151],"achieved":[154],"77%":[155],"58%":[157],"both":[161],"datasets,":[162],"respectively.":[163]},"counts_by_year":[{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}