{"id":"https://openalex.org/W2955705948","doi":"https://doi.org/10.18653/v1/s19-2107","title":"Emad at SemEval-2019 Task 6: Offensive Language Identification using Traditional Machine Learning and Deep Learning approaches","display_name":"Emad at SemEval-2019 Task 6: Offensive Language Identification using Traditional Machine Learning and Deep Learning approaches","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2955705948","doi":"https://doi.org/10.18653/v1/s19-2107","mag":"2955705948"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2107","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2107","pdf_url":"https://www.aclweb.org/anthology/S19-2107.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/S19-2107.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056864367","display_name":"Emad Kebriaei","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Emad Kebriaei","raw_affiliation_strings":["School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066019483","display_name":"Samaneh Karimi","orcid":"https://orcid.org/0000-0003-3483-0590"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Samaneh Karimi","raw_affiliation_strings":["School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028728844","display_name":"Nazanin Sabri","orcid":"https://orcid.org/0000-0002-0861-9444"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Nazanin Sabri","raw_affiliation_strings":["School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055494428","display_name":"Azadeh Shakery","orcid":"https://orcid.org/0000-0003-1799-8340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azadeh Shakery","raw_affiliation_strings":["School of Computer Science and Institute for Research in Fundamental Sciences (IPM)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Institute for Research in Fundamental Sciences (IPM)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1569,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84211494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","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/T12262","display_name":"Hate Speech and Cyberbullying Detection","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"}}],"keywords":[{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.9044067859649658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8599463701248169},{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.8097296953201294},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7149579524993896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7074483036994934},{"id":"https://openalex.org/keywords/language-identification","display_name":"Language identification","score":0.6520514488220215},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6408584117889404},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5972186326980591},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5785430669784546},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5089454650878906},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4930414855480194},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4669512212276459},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.4424075782299042},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3945237398147583},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.211654931306839},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09132343530654907}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.9044067859649658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8599463701248169},{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.8097296953201294},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7149579524993896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7074483036994934},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.6520514488220215},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6408584117889404},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5972186326980591},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5785430669784546},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5089454650878906},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4930414855480194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4669512212276459},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.4424075782299042},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3945237398147583},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.211654931306839},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09132343530654907},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/s19-2107","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2107","pdf_url":"https://www.aclweb.org/anthology/S19-2107.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/s19-2107","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2107","pdf_url":"https://www.aclweb.org/anthology/S19-2107.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Workshop on Semantic Evaluation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2955705948.pdf","grobid_xml":"https://content.openalex.org/works/W2955705948.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2595653137","https://openalex.org/W2740168486","https://openalex.org/W2741065173","https://openalex.org/W2785615365","https://openalex.org/W2887782043","https://openalex.org/W2912102236","https://openalex.org/W2922580172","https://openalex.org/W2962932155","https://openalex.org/W2962977603","https://openalex.org/W2962993339"],"related_works":["https://openalex.org/W4386566602","https://openalex.org/W4200241924","https://openalex.org/W3023322875","https://openalex.org/W2922580172","https://openalex.org/W3041909748","https://openalex.org/W3117476642","https://openalex.org/W3184118381","https://openalex.org/W3081866152","https://openalex.org/W4287674457","https://openalex.org/W2469576572"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,7,16,69,87,96],"used":[4],"methods":[5,55,63,101],"and":[6,43,52,64],"results":[8,93],"obtained":[9],"by":[10],"our":[11,90],"team,":[12],"entitled":[13],"Emad,":[14],"on":[15],"OffensEval":[17,28],"2019":[18,24],"shared":[19,29],"task":[20,30],"organized":[21],"at":[22],"Se-mEval":[23],"are":[25],"presented.":[26],"The":[27,92],"includes":[31],"three":[32],"sub-tasks":[33],"namely":[34],"Offensive":[35],"language":[36],"identification,":[37],"Automatic":[38],"categorization":[39],"of":[40,68,73,89,104],"offense":[41],"types":[42],"Offense":[44],"target":[45],"identification.":[46],"We":[47,75],"participated":[48],"in":[49,102],"subtask":[50],"A":[51],"tried":[53],"various":[54],"including":[56],"traditional":[57],"machine":[58],"learning":[59,62],"methods,":[60],"deep":[61],"also":[65,76],"a":[66,78],"combination":[67],"first":[70],"two":[71],"sets":[72],"methods.":[74,91],"proposed":[77],"data":[79],"augmentation":[80,97],"method":[81],"using":[82],"word":[83],"embedding":[84],"to":[85],"improve":[86],"performance":[88],"show":[94],"that":[95],"approach":[98],"outperforms":[99],"other":[100],"terms":[103],"macro-f1.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}