{"id":"https://openalex.org/W2048703832","doi":"https://doi.org/10.1080/01969720600998546","title":"AUTOMATIC MACHINE LEARNING OF KEYPHRASE EXTRACTION FROM SHORT HTML DOCUMENTS WRITTEN IN HEBREW","display_name":"AUTOMATIC MACHINE LEARNING OF KEYPHRASE EXTRACTION FROM SHORT HTML DOCUMENTS WRITTEN IN HEBREW","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2048703832","doi":"https://doi.org/10.1080/01969720600998546","mag":"2048703832"},"language":"en","primary_location":{"id":"doi:10.1080/01969720600998546","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720600998546","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and 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/A5058308382","display_name":"Yaakov HaCohen\u2010Kerner","orcid":"https://orcid.org/0000-0002-4834-1272"},"institutions":[{"id":"https://openalex.org/I192238737","display_name":"Jerusalem College of Technology","ror":"https://ror.org/002kenh51","country_code":"IL","type":"education","lineage":["https://openalex.org/I192238737"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Yaakov HaCohen-Kerner","raw_affiliation_strings":["Department of Computer Science , Jerusalem College of Technology (Machon Lev) , Jerusalem, Israel","Department of Computer Science, Jerusalem College of Technology (Machon Lev), Jerusalem, Israel#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Jerusalem College of Technology (Machon Lev) , Jerusalem, Israel","institution_ids":["https://openalex.org/I192238737"]},{"raw_affiliation_string":"Department of Computer Science, Jerusalem College of Technology (Machon Lev), Jerusalem, Israel#TAB#","institution_ids":["https://openalex.org/I192238737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091070405","display_name":"Ittay Stern","orcid":null},"institutions":[{"id":"https://openalex.org/I192238737","display_name":"Jerusalem College of Technology","ror":"https://ror.org/002kenh51","country_code":"IL","type":"education","lineage":["https://openalex.org/I192238737"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ittay Stern","raw_affiliation_strings":["Department of Computer Science , Jerusalem College of Technology (Machon Lev) , Jerusalem, Israel","Department of Computer Science, Jerusalem College of Technology (Machon Lev), Jerusalem, Israel#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Jerusalem College of Technology (Machon Lev) , Jerusalem, Israel","institution_ids":["https://openalex.org/I192238737"]},{"raw_affiliation_string":"Department of Computer Science, Jerusalem College of Technology (Machon Lev), Jerusalem, Israel#TAB#","institution_ids":["https://openalex.org/I192238737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063534863","display_name":"David Korkus","orcid":null},"institutions":[{"id":"https://openalex.org/I192238737","display_name":"Jerusalem College of Technology","ror":"https://ror.org/002kenh51","country_code":"IL","type":"education","lineage":["https://openalex.org/I192238737"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"David Korkus","raw_affiliation_strings":["Department of Computer Science , Jerusalem College of Technology (Machon Lev) , Jerusalem, Israel","Department of Computer Science, Jerusalem College of Technology (Machon Lev), Jerusalem, Israel#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Jerusalem College of Technology (Machon Lev) , Jerusalem, Israel","institution_ids":["https://openalex.org/I192238737"]},{"raw_affiliation_string":"Department of Computer Science, Jerusalem College of Technology (Machon Lev), Jerusalem, Israel#TAB#","institution_ids":["https://openalex.org/I192238737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078531460","display_name":"Erick Fredj","orcid":"https://orcid.org/0000-0002-7991-4942"},"institutions":[{"id":"https://openalex.org/I192238737","display_name":"Jerusalem College of Technology","ror":"https://ror.org/002kenh51","country_code":"IL","type":"education","lineage":["https://openalex.org/I192238737"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Erick Fredj","raw_affiliation_strings":["Department of Computer Science , Jerusalem College of Technology (Machon Lev) , Jerusalem, Israel","Department of Computer Science, Jerusalem College of Technology (Machon Lev), Jerusalem, Israel#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Jerusalem College of Technology (Machon Lev) , Jerusalem, Israel","institution_ids":["https://openalex.org/I192238737"]},{"raw_affiliation_string":"Department of Computer Science, Jerusalem College of Technology (Machon Lev), Jerusalem, Israel#TAB#","institution_ids":["https://openalex.org/I192238737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058308382"],"corresponding_institution_ids":["https://openalex.org/I192238737"],"apc_list":null,"apc_paid":null,"fwci":0.9385,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81357889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"38","issue":"1","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis 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/T13083","display_name":"Advanced Text Analysis 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8122490048408508},{"id":"https://openalex.org/keywords/hebrew","display_name":"Hebrew","score":0.7179782390594482},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6894689798355103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6047222018241882},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4446215331554413},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2959841191768646},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.05886003375053406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8122490048408508},{"id":"https://openalex.org/C91304198","wikidata":"https://www.wikidata.org/wiki/Q9288","display_name":"Hebrew","level":2,"score":0.7179782390594482},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6894689798355103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6047222018241882},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4446215331554413},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2959841191768646},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.05886003375053406}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969720600998546","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720600998546","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W126071242","https://openalex.org/W146758163","https://openalex.org/W158924289","https://openalex.org/W1494676986","https://openalex.org/W1503658519","https://openalex.org/W1514583064","https://openalex.org/W1525595230","https://openalex.org/W1537809898","https://openalex.org/W1577877742","https://openalex.org/W1675012171","https://openalex.org/W1907578970","https://openalex.org/W1974339500","https://openalex.org/W2064418625","https://openalex.org/W2089589285","https://openalex.org/W2101390659","https://openalex.org/W2119821739","https://openalex.org/W2122410182","https://openalex.org/W2125055259","https://openalex.org/W2145766604","https://openalex.org/W2158291389","https://openalex.org/W2170654002","https://openalex.org/W2500014740","https://openalex.org/W2950982165","https://openalex.org/W3021909058","https://openalex.org/W6628983414"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1558215493","https://openalex.org/W1976009970","https://openalex.org/W2084800428","https://openalex.org/W2044179353","https://openalex.org/W2068961711","https://openalex.org/W2009267686","https://openalex.org/W4253949560","https://openalex.org/W2317694233","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Keyphrases":[0],"extracted":[1],"from":[2],"documents":[3,23,51,145],"may":[4],"save":[5],"precious":[6],"time":[7,45],"for":[8,22,42,50,144],"tasks":[9],"such":[10,18],"as":[11,67,152],"filtering,":[12],"summarization,":[13],"and":[14,98],"categorization.":[15],"A":[16],"few":[17],"systems":[19,72,143],"are":[20,150],"available":[21],"written":[24,52,146],"in":[25,53,147],"English.":[26],"In":[27,85],"this":[28],"paper,":[29],"we":[30,56,87],"propose":[31],"a":[32,58,77,113],"model":[33],"called":[34],"LEH_KEY":[35],"(Learning":[36],"to":[37,47,69,131,138],"Extract":[38],"Hebrew":[39],"KEYphrases)":[40],"that":[41,73],"the":[43],"first":[44],"learns":[46],"extract":[48],"keyphrases":[49],"Hebrew.":[54],"Firstly,":[55],"introduce":[57],"relatively":[59],"high":[60],"number":[61,79,94],"(15)":[62],"of":[63,76,81,92,95,115,124,135],"baseline":[64,82,96,117],"extraction":[65,83,142],"methods":[66,97,102,118],"opposed":[68],"other":[70],"related":[71],"use":[74],"combinations":[75,91],"low":[78],"(two/three)":[80],"methods.":[84],"contrast,":[86],"have":[88,103,109,128],"investigated":[89],"various":[90,99],"larger":[93],"machine":[100],"learning":[101],"been":[104,110,129],"tested.":[105],"The":[106],"best":[107],"results":[108,127],"achieved":[111,140],"by":[112,141],"combination":[114],"six":[116],"using":[119],"J48":[120],"(an":[121],"improved":[122],"variant":[123],"C4.5).":[125],"Our":[126],"found":[130],"be":[132],"at":[133],"least":[134],"equal":[136],"quality":[137],"those":[139],"English,":[148],"which":[149],"regarded":[151],"state-of-the":[153],"art.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
