{"id":"https://openalex.org/W2078793151","doi":"https://doi.org/10.1109/aiccsa.2013.6616423","title":"Studying the impact of various features on the performance of Conditional Random Field-based Arabic Named Entity Recognition","display_name":"Studying the impact of various features on the performance of Conditional Random Field-based Arabic Named Entity Recognition","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2078793151","doi":"https://doi.org/10.1109/aiccsa.2013.6616423","mag":"2078793151"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2013.6616423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2013.6616423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 ACS 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/A5009014624","display_name":"Alia Morsi","orcid":null},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Alia Morsi","raw_affiliation_strings":["Department of Computer Science and Engineering, American University in Cairo, Cairo, Egypt","Dept. of Computer Science & Engineering, American University in Cairo, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, American University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]},{"raw_affiliation_string":"Dept. of Computer Science & Engineering, American University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058725522","display_name":"Ahmed Rafea","orcid":"https://orcid.org/0000-0001-8109-1845"},"institutions":[{"id":"https://openalex.org/I80693520","display_name":"American University in Cairo","ror":"https://ror.org/0176yqn58","country_code":"EG","type":"education","lineage":["https://openalex.org/I80693520"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmed Rafea","raw_affiliation_strings":["Department of Computer Science and Engineering, American University in Cairo, Cairo, Egypt","Dept. of Computer Science & Engineering, American University in Cairo, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, American University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]},{"raw_affiliation_string":"Dept. of Computer Science & Engineering, American University in Cairo, Cairo, Egypt","institution_ids":["https://openalex.org/I80693520"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009014624"],"corresponding_institution_ids":["https://openalex.org/I80693520"],"apc_list":null,"apc_paid":null,"fwci":0.4809,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76398652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"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":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/T10028","display_name":"Topic Modeling","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/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/T11550","display_name":"Text and Document Classification Technologies","score":0.9865000247955322,"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/conditional-random-field","display_name":"Conditional random field","score":0.9532244801521301},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.9161256551742554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.830062985420227},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7865060567855835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.733941912651062},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.6890252828598022},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6042028069496155},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6016872525215149},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.5951699614524841},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.5250365734100342},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5169674754142761},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4847814440727234},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4746471047401428},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.47154974937438965},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45803168416023254},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.44098734855651855},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10930344462394714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07314479351043701},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.06277796626091003}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.9532244801521301},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.9161256551742554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.830062985420227},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7865060567855835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.733941912651062},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.6890252828598022},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6042028069496155},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6016872525215149},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.5951699614524841},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.5250365734100342},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5169674754142761},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4847814440727234},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4746471047401428},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.47154974937438965},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45803168416023254},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.44098734855651855},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10930344462394714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07314479351043701},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.06277796626091003},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa.2013.6616423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2013.6616423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 ACS International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W68059783","https://openalex.org/W136407171","https://openalex.org/W1728883788","https://openalex.org/W1996430422","https://openalex.org/W2022414723","https://openalex.org/W2096765155","https://openalex.org/W2100976324","https://openalex.org/W2138780451","https://openalex.org/W2147880316","https://openalex.org/W2163238067","https://openalex.org/W6602770251","https://openalex.org/W6605607646","https://openalex.org/W6682082992","https://openalex.org/W6683769007","https://openalex.org/W6890406761"],"related_works":["https://openalex.org/W189110383","https://openalex.org/W4399418584","https://openalex.org/W3047727388","https://openalex.org/W3133906981","https://openalex.org/W2132038179","https://openalex.org/W2961904766","https://openalex.org/W2165958952","https://openalex.org/W2027233318","https://openalex.org/W2062502130","https://openalex.org/W136407171"],"abstract_inverted_index":{"The":[0,30],"task":[1],"of":[2,24,32,38,64,70],"Named":[3,25],"Entity":[4],"Recognition":[5],"(NER)":[6],"is":[7,115,120],"crucial":[8],"to":[9,66,106],"Natural":[10,39],"Language":[11,40],"Processing":[12,41],"(NLP).":[13],"NER":[14,33,76],"can":[15],"be":[16,47],"defined":[17],"as":[18],"the":[19,36,68],"computational":[20],"identification":[21],"and":[22,54,90],"classification":[23],"Entities":[26],"in":[27],"running":[28],"text.":[29,83],"importance":[31],"stems":[34],"from":[35],"variety":[37],"applications":[42],"where":[43],"accurate":[44],"NLP":[45],"would":[46],"highly":[48],"useful.":[49],"Such":[50],"include":[51],"machine":[52],"translation":[53],"information":[55],"extraction.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,91],"present":[61],"a":[62,116],"series":[63],"experiments":[65],"explore":[67],"impact":[69],"using":[71],"various":[72],"feature":[73],"sets":[74],"on":[75,86],"results":[77,109],"for":[78,96,110],"Modern":[79],"Standard":[80],"Arabic":[81],"(MSA)":[82],"We":[84,100],"rely":[85],"language":[87],"independent":[88],"features":[89],"employ":[92],"CRF":[93],"based":[94],"models":[95],"all":[97],"our":[98,102,124],"experiments.":[99],"create":[101],"own":[103],"baseline":[104],"model":[105],"use":[107],"its":[108],"comparison.":[111],"Our":[112],"best":[113],"result":[114],"68.05":[117],"F-Measure,":[118],"which":[119],"10.82":[121],"points":[122],"above":[123],"baseline.":[125]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}