{"id":"https://openalex.org/W2980693453","doi":"https://doi.org/10.1145/3350546.3352543","title":"Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy","display_name":"Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy","publication_year":2019,"publication_date":"2019-10-14","ids":{"openalex":"https://openalex.org/W2980693453","doi":"https://doi.org/10.1145/3350546.3352543","mag":"2980693453"},"language":"en","primary_location":{"id":"doi:10.1145/3350546.3352543","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3350546.3352543","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","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/A5020524648","display_name":"Eleni Partalidou","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Eleni Partalidou","raw_affiliation_strings":["DataScouting, Greece"],"affiliations":[{"raw_affiliation_string":"DataScouting, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009239738","display_name":"Eleftherios Spyromitros-Xioufis","orcid":"https://orcid.org/0000-0001-9178-8603"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eleftherios Spyromitros-Xioufis","raw_affiliation_strings":["DataScouting, Greece"],"affiliations":[{"raw_affiliation_string":"DataScouting, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049192036","display_name":"Stavros Doropoulos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stavros Doropoulos","raw_affiliation_strings":["DataScouting, Greece"],"affiliations":[{"raw_affiliation_string":"DataScouting, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039053440","display_name":"Stavros Vologiannidis","orcid":"https://orcid.org/0000-0003-2945-0841"},"institutions":[{"id":"https://openalex.org/I183898223","display_name":"International Hellenic University","ror":"https://ror.org/00708jp83","country_code":"GR","type":"education","lineage":["https://openalex.org/I183898223"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stavros Vologiannidis","raw_affiliation_strings":["Dpt of Computer, Informatics and Telecommunications Engineering, International Hellenic University, Greece"],"affiliations":[{"raw_affiliation_string":"Dpt of Computer, Informatics and Telecommunications Engineering, International Hellenic University, Greece","institution_ids":["https://openalex.org/I183898223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047747213","display_name":"Konstantinos Diamantaras","orcid":"https://orcid.org/0000-0003-1373-4022"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Konstantinos Diamantaras","raw_affiliation_strings":["DataScouting, Greece"],"affiliations":[{"raw_affiliation_string":"DataScouting, Greece","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020524648"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7549,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.92030848,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"337","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing 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/T10181","display_name":"Natural Language Processing 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"}},{"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/T13629","display_name":"Text Readability and Simplification","score":0.9886999726295471,"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":0.8829686641693115},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6506636738777161},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6413798332214355},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6392884254455566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5961278080940247},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5665607452392578},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5367082357406616},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5110653638839722},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.5018267631530762},{"id":"https://openalex.org/keywords/open-source","display_name":"Open source","score":0.485072523355484},{"id":"https://openalex.org/keywords/part-of-speech","display_name":"Part of speech","score":0.45433786511421204},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4469510614871979},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4312629997730255},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42764973640441895},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14678949117660522},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.14352771639823914},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09395018219947815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8829686641693115},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6506636738777161},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6413798332214355},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6392884254455566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5961278080940247},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5665607452392578},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5367082357406616},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5110653638839722},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.5018267631530762},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.485072523355484},{"id":"https://openalex.org/C123406163","wikidata":"https://www.wikidata.org/wiki/Q82042","display_name":"Part of speech","level":2,"score":0.45433786511421204},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4469510614871979},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4312629997730255},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42764973640441895},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14678949117660522},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.14352771639823914},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09395018219947815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3350546.3352543","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3350546.3352543","pdf_url":null,"source":{"id":"https://openalex.org/S4363608074","display_name":"IEEE/WIC/ACM International Conference on Web Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/WIC/ACM International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335254","display_name":"Horizon 2020","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W89689174","https://openalex.org/W189286601","https://openalex.org/W2493916176","https://openalex.org/W2710777912","https://openalex.org/W2963667932","https://openalex.org/W2963863756","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3199871245","https://openalex.org/W2915436880","https://openalex.org/W1964783010","https://openalex.org/W3198729192","https://openalex.org/W2113128227","https://openalex.org/W632256878","https://openalex.org/W2491403535","https://openalex.org/W2479811461","https://openalex.org/W2104915799","https://openalex.org/W4311938462"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,28,57,74,109],"machine":[4],"learning":[5],"approach":[6],"to":[7],"part-of-speech":[8],"tagging":[9],"and":[10,23,66,89,135],"named":[11,34,104],"entity":[12,105],"recognition":[13,106],"for":[14,33,69,130,140],"Greek,":[15],"focusing":[16],"on":[17],"the":[18,48,54,71,84,87,93,99,113,128,145],"extraction":[19],"of":[20,25,31,47,76,86,101],"morphological":[21],"features":[22],"classification":[24],"tokens":[26,88],"into":[27,53],"small":[29],"set":[30],"classes":[32],"entities.":[35],"The":[36,44],"architecture":[37],"model":[38,110],"that":[39,59,81,111,124],"was":[40,51,67,79,120],"used":[41,68],"is":[42,137],"introduced.":[43],"greek":[45],"version":[46],"spaCy":[49],"platform":[50],"added":[52],"source":[55],"code,":[56],"feature":[58],"did":[60],"not":[61],"exist":[62],"before":[63],"our":[64],"contribution,":[65],"building":[70],"models.":[72],"Additionally,":[73],"part":[75,100],"speech":[77],"tagger":[78],"trained":[80],"can":[82],"detect":[83],"morphology":[85],"performs":[90],"higher":[91],"than":[92],"state-of-the-art":[94],"results":[95,147],"when":[96],"classifying":[97],"only":[98],"speech.":[102],"For":[103],"using":[107],"spaCy,":[108],"extends":[112],"standard":[114],"ENAMEX":[115],"type":[116],"(organization,":[117],"location,":[118],"person)":[119],"built.":[121],"Certain":[122],"experiments":[123],"were":[125],"conducted":[126],"indicate":[127],"need":[129],"flexibility":[131],"in":[132],"out-of-vocabulary":[133],"words":[134],"there":[136],"an":[138],"effort":[139],"resolving":[141],"this":[142],"issue.":[143],"Finally,":[144],"evaluation":[146],"are":[148],"discussed.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}