{"id":"https://openalex.org/W3008059819","doi":"https://doi.org/10.4018/ijswis.2020040107","title":"Efficient Weighted Semantic Score Based on the Huffman Coding Algorithm and Knowledge Bases for Word Sequences Embedding","display_name":"Efficient Weighted Semantic Score Based on the Huffman Coding Algorithm and Knowledge Bases for Word Sequences Embedding","publication_year":2020,"publication_date":"2020-02-21","ids":{"openalex":"https://openalex.org/W3008059819","doi":"https://doi.org/10.4018/ijswis.2020040107","mag":"3008059819"},"language":"en","primary_location":{"id":"doi:10.4018/ijswis.2020040107","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijswis.2020040107","pdf_url":null,"source":{"id":"https://openalex.org/S181240966","display_name":"International Journal on Semantic Web and Information Systems","issn_l":"1552-6283","issn":["1552-6283","1552-6291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Semantic Web and Information Systems","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/A5088123069","display_name":"Nada Ben-Lhachemi","orcid":null},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Nada Ben-Lhachemi","raw_affiliation_strings":["Sidi Mohamed Ben Abdellah University, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sidi Mohamed Ben Abdellah University, Morocco","institution_ids":["https://openalex.org/I81605866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085575952","display_name":"El Habib Nfaoui","orcid":"https://orcid.org/0000-0002-5816-0897"},"institutions":[{"id":"https://openalex.org/I81605866","display_name":"Sidi Mohamed Ben Abdellah University","ror":"https://ror.org/04efg9a07","country_code":"MA","type":"education","lineage":["https://openalex.org/I81605866"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"El Habib Nfaoui","raw_affiliation_strings":["LIIAN Laboratory, Sidi Mohamed Ben Abdellah University, Morocco"],"raw_orcid":"https://orcid.org/0000-0002-5816-0897","affiliations":[{"raw_affiliation_string":"LIIAN Laboratory, Sidi Mohamed Ben Abdellah University, Morocco","institution_ids":["https://openalex.org/I81605866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2708,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62430464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":"2","first_page":"126","last_page":"142"},"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":0.9977999925613403,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8268831968307495},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7732260823249817},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6779152154922485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.652046263217926},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5444025993347168},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.524458646774292},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4755361080169678},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.463781476020813},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.46304944157600403},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4579746425151825},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3531941771507263},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15440747141838074},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.11393779516220093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8268831968307495},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7732260823249817},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6779152154922485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.652046263217926},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5444025993347168},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.524458646774292},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4755361080169678},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.463781476020813},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.46304944157600403},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4579746425151825},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3531941771507263},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15440747141838074},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.11393779516220093},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijswis.2020040107","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijswis.2020040107","pdf_url":null,"source":{"id":"https://openalex.org/S181240966","display_name":"International Journal on Semantic Web and Information Systems","issn_l":"1552-6283","issn":["1552-6283","1552-6291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal on Semantic Web and Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jswis0:v:16:y:2020:i:2:p:126-142","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSWIS.2020040107","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W97201605","https://openalex.org/W185445000","https://openalex.org/W1560851690","https://openalex.org/W1614298861","https://openalex.org/W1673310716","https://openalex.org/W1984052055","https://openalex.org/W2028742638","https://openalex.org/W2060108852","https://openalex.org/W2113552117","https://openalex.org/W2127289991","https://openalex.org/W2131744502","https://openalex.org/W2148815800","https://openalex.org/W2153579005","https://openalex.org/W2175723921","https://openalex.org/W2250473257","https://openalex.org/W2250539671","https://openalex.org/W2294860948","https://openalex.org/W2493916176","https://openalex.org/W2507868973","https://openalex.org/W2554564972","https://openalex.org/W2578396138","https://openalex.org/W2736365032","https://openalex.org/W2752172973","https://openalex.org/W2755747717","https://openalex.org/W2766034339","https://openalex.org/W2801716390","https://openalex.org/W2807329388","https://openalex.org/W2920277907","https://openalex.org/W2949547296","https://openalex.org/W2950133940","https://openalex.org/W2950577311","https://openalex.org/W2950726992","https://openalex.org/W2952566282","https://openalex.org/W2963355447","https://openalex.org/W2963502184","https://openalex.org/W4295803813","https://openalex.org/W6629028937"],"related_works":["https://openalex.org/W2351464472","https://openalex.org/W2911655849","https://openalex.org/W4286432911","https://openalex.org/W2966570129","https://openalex.org/W3099449837","https://openalex.org/W3134737443","https://openalex.org/W2774861092","https://openalex.org/W2622845166","https://openalex.org/W4301351852","https://openalex.org/W2912737652"],"abstract_inverted_index":{"Learning":[0],"text":[1,19,49,124,138],"representation":[2,20],"is":[3,15,65,139],"forming":[4],"a":[5,16,67,76,80,111,131],"core":[6],"for":[7],"numerous":[8],"natural":[9],"language":[10],"processing":[11],"applications.":[12],"Word":[13,31],"embedding":[14,32,120],"type":[17],"of":[18,48],"that":[21,102],"allows":[22],"words":[23],"with":[24,62,118,149],"similar":[25,29],"meaning":[26],"to":[27,98,122],"have":[28],"representation.":[30,125],"techniques":[33,53],"categorize":[34],"semantic":[35,58,81,105],"similarities":[36],"between":[37,86,107],"linguistic":[38],"items":[39],"based":[40],"on":[41,130],"their":[42],"distributional":[43],"properties":[44],"in":[45,135],"large":[46],"samples":[47],"data.":[50],"Although":[51],"these":[52],"are":[54],"very":[55],"efficient,":[56],"handling":[57],"and":[59,93,141],"pragmatics":[60],"ambiguity":[61],"high":[63],"accuracy":[64],"still":[66],"challenging":[68],"research":[69],"task.":[70],"In":[71],"this":[72,100,116],"article,":[73],"we":[74],"propose":[75],"new":[77],"feature":[78,117],"as":[79],"score":[82,101],"which":[83],"handles":[84],"ambiguities":[85],"words.":[87],"We":[88,114,126],"use":[89],"external":[90],"knowledge":[91],"bases":[92],"the":[94,104],"Huffman":[95],"Coding":[96],"algorithm":[97],"compute":[99],"depicts":[103],"relatedness":[106],"all":[108],"fragments":[109],"composing":[110],"given":[112],"text.":[113],"combine":[115],"word":[119],"methods":[121],"improve":[123],"evaluate":[127],"our":[128,152],"method":[129,153],"hashtag":[132],"recommendation":[133],"system":[134],"Twitter":[136],"where":[137],"noisy":[140],"short.":[142],"The":[143],"experimental":[144],"results":[145],"demonstrate":[146],"that,":[147],"compared":[148],"state-of-the-art":[150],"algorithms,":[151],"achieves":[154],"good":[155],"results.":[156]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
