{"id":"https://openalex.org/W2999302224","doi":"https://doi.org/10.1145/3372938.3373002","title":"A Hybrid Statistical Approach for Named Entity Recognition for Amazighe Language","display_name":"A Hybrid Statistical Approach for Named Entity Recognition for Amazighe Language","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W2999302224","doi":"https://doi.org/10.1145/3372938.3373002","mag":"2999302224"},"language":"en","primary_location":{"id":"doi:10.1145/3372938.3373002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372938.3373002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Big Data and Internet of Things","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/A5009373041","display_name":"Samir Amri","orcid":"https://orcid.org/0000-0001-7979-6440"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Samir Amri","raw_affiliation_strings":["ERSC Laboratory, EMI Med V University, Rabat Morocco"],"affiliations":[{"raw_affiliation_string":"ERSC Laboratory, EMI Med V University, Rabat Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072775887","display_name":"Lahbib Zenkouar","orcid":"https://orcid.org/0009-0002-3942-8875"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lahbib Zenkouar","raw_affiliation_strings":["ERSC Laboratory, EMI Med V University, Rabat Morocco"],"affiliations":[{"raw_affiliation_string":"ERSC Laboratory, EMI Med V University, Rabat Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001307259","display_name":"Reda Benkhouya","orcid":"https://orcid.org/0000-0001-8521-3184"},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Reda Benkhouya","raw_affiliation_strings":["MISC, Ibn Tofail University, K\u00e9nitra Morocco"],"affiliations":[{"raw_affiliation_string":"MISC, Ibn Tofail University, K\u00e9nitra Morocco","institution_ids":["https://openalex.org/I3121676899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009373041"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.17892243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9976000189781189,"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":0.9944999814033508,"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/named-entity-recognition","display_name":"Named-entity recognition","score":0.8864859938621521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8613297939300537},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7780457735061646},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.7630136609077454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7335912585258484},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6356704235076904},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.5598465800285339},{"id":"https://openalex.org/keywords/named-entity","display_name":"Named entity","score":0.5464538335800171},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4916699528694153},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.49031761288642883},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.42440617084503174},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.4141892194747925},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36763715744018555},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.2017880380153656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11654660105705261},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.09180977940559387}],"concepts":[{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.8864859938621521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8613297939300537},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7780457735061646},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.7630136609077454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7335912585258484},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6356704235076904},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.5598465800285339},{"id":"https://openalex.org/C2777889803","wikidata":"https://www.wikidata.org/wiki/Q25047676","display_name":"Named entity","level":2,"score":0.5464538335800171},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4916699528694153},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.49031761288642883},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.42440617084503174},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.4141892194747925},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36763715744018555},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2017880380153656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11654660105705261},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.09180977940559387},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372938.3373002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372938.3373002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1728883788","https://openalex.org/W1995287322","https://openalex.org/W2007119365","https://openalex.org/W2104091251","https://openalex.org/W2116489716","https://openalex.org/W2289796245","https://openalex.org/W2603258515","https://openalex.org/W2785349534","https://openalex.org/W2952087486","https://openalex.org/W3135132088","https://openalex.org/W6679881089"],"related_works":["https://openalex.org/W2186562580","https://openalex.org/W2155874911","https://openalex.org/W4255258373","https://openalex.org/W2593907245","https://openalex.org/W2032007337","https://openalex.org/W3000685722","https://openalex.org/W1884363728","https://openalex.org/W4253099099","https://openalex.org/W4386977977","https://openalex.org/W2530283981"],"abstract_inverted_index":{"Recognition":[0],"of":[1,14,56,88,93,120,148,158],"named":[2,77],"entities":[3,57,78],"(NEs)":[4],"from":[5,58,160],"computer":[6],"readable":[7],"natural":[8,19,161],"language":[9,20,162],"text":[10,80],"is":[11,27,36,101],"significant":[12],"task":[13],"information":[15,69],"extraction":[16,26,55,70,157],"(IE)":[17],"and":[18,75,108,123,126,141,151],"processing":[21,31],"(NLP).":[22],"Named":[23,60],"entity":[24,61],"(NE)":[25],"important":[28,155],"step":[29,67],"for":[30,44,54,133,146,156],"unstructured":[32,163],"content.":[33],"Unstructured":[34],"data":[35,43],"computationally":[37,41],"opaque.":[38],"Computers":[39],"require":[40],"transparent":[42],"processing.":[45],"There":[46],"are":[47,52,144,154],"various":[48,139],"different":[49],"approaches":[50],"that":[51,71,143,153],"applied":[53],"text.":[59,164],"recognition":[62,122,131],"(NER)is":[63],"probably":[64],"the":[65,86],"first":[66],"towards":[68],"seeks":[72],"to":[73],"locate":[74],"classify":[76],"in":[79,103,106,129],"into":[81],"predefined":[82],"categories":[83],"such":[84],"as":[85],"names":[87],"persons,":[89],"organizations,":[90],"locations,":[91],"expressions":[92],"times,":[94],"quantities,":[95],"monetary":[96],"values,":[97],"percentages,":[98],"etc.":[99],"NER":[100],"used":[102],"many":[104,113],"fields":[105],"NLP,":[107],"it":[109],"can":[110],"help":[111],"resolving":[112],"real":[114],"NLP":[115],"tasks.This":[116],"paper":[117],"elaborates":[118],"need":[119],"NE":[121,130],"discusses":[124],"issues":[125],"challenges":[127],"involved":[128],"tasks":[132],"Amazighe":[134],"language.":[135],"It":[136],"also":[137],"explores":[138],"methods":[140],"techniques":[142],"useful":[145],"creation":[147],"learning":[149],"resources":[150],"lexicons":[152],"NEs":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
