{"id":"https://openalex.org/W2955699785","doi":"https://doi.org/10.18653/v1/s19-2075","title":"JCTDHS at SemEval-2019 Task 5: Detection of Hate Speech in Tweets using Deep Learning Methods, Character N-gram Features, and Preprocessing Methods","display_name":"JCTDHS at SemEval-2019 Task 5: Detection of Hate Speech in Tweets using Deep Learning Methods, Character N-gram Features, and Preprocessing Methods","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2955699785","doi":"https://doi.org/10.18653/v1/s19-2075","mag":"2955699785"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2075","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2075","pdf_url":null,"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://doi.org/10.18653/v1/s19-2075","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058308382","display_name":"Yaakov HaCohen\u2010Kerner","orcid":"https://orcid.org/0000-0002-4834-1272"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yaakov HaCohen-Kerner","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047468902","display_name":"Elyashiv Shayovitz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elyashiv Shayovitz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063671480","display_name":"Shalom Rochman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shalom Rochman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071794211","display_name":"Eli Cahn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eli Cahn","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087175688","display_name":"Gal Didi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gal Didi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030928444","display_name":"Ziv Ben-David","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziv Ben-David","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058308382"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55528167,"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":"426","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","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/T12262","display_name":"Hate Speech and Cyberbullying Detection","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/semeval","display_name":"SemEval","score":0.7923294901847839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7831670045852661},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7643703818321228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6857108473777771},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6720284223556519},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6118413805961609},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6045003533363342},{"id":"https://openalex.org/keywords/n-gram","display_name":"n-gram","score":0.4756838083267212},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4510490298271179},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.20656248927116394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08407911658287048}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.7923294901847839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831670045852661},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7643703818321228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6857108473777771},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6720284223556519},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6118413805961609},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6045003533363342},{"id":"https://openalex.org/C117884012","wikidata":"https://www.wikidata.org/wiki/Q94489","display_name":"n-gram","level":3,"score":0.4756838083267212},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4510490298271179},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.20656248927116394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08407911658287048},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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:10.18653/v1/s19-2075","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2075","pdf_url":null,"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/s19-2075","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2075","pdf_url":null,"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":[{"id":"https://metadata.un.org/sdg/5","score":0.550000011920929,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2048703832","https://openalex.org/W2076854725","https://openalex.org/W2103333826","https://openalex.org/W2250539671","https://openalex.org/W2340954483","https://openalex.org/W2473555522","https://openalex.org/W2595653137","https://openalex.org/W2740168486","https://openalex.org/W2779914013","https://openalex.org/W2803528929","https://openalex.org/W2954226438"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W4221161337","https://openalex.org/W4287887372","https://openalex.org/W2251529656","https://openalex.org/W4301110457","https://openalex.org/W4287887887","https://openalex.org/W4287854433","https://openalex.org/W21906215","https://openalex.org/W2965005048","https://openalex.org/W2081647779"],"abstract_inverted_index":{"In":[0,88],"this":[1],"paper,":[2],"we":[3,90],"describe":[4],"our":[5],"submissions":[6],"to":[7,21],"SemEval-2019":[8],"contest.":[9],"We":[10,72],"tackled":[11],"subtask":[12],"A":[13],"-":[14],"\u201ca":[15],"binary":[16],"classification":[17],"where":[18],"systems":[19],"have":[20],"predict":[22],"whether":[23],"a":[24,27,38,103],"tweet":[25],"with":[26],"given":[28],"target":[29],"(women":[30],"or":[31,35],"immigrants)":[32],"is":[33],"hateful":[34],"not":[36],"hateful\u201d,":[37],"part":[39],"of":[40,45,60,80,94,115],"task":[41],"5":[42],"\u201cMultilingual":[43],"detection":[44],"hate":[46],"speech":[47],"against":[48],"immigrants":[49],"and":[50],"women":[51],"in":[52,70],"Twitter":[53],"(hatEval)\u201d.":[54],"Our":[55,99],"system":[56],"JCTDHS":[57],"(Jerusalem":[58],"College":[59],"Technology":[61],"Detects":[62],"Hate":[63],"Speech)":[64],"was":[65,102,108],"developed":[66],"for":[67],"tweets":[68],"written":[69],"English.":[71],"applied":[73,91],"various":[74,78,92],"supervised":[75],"ML":[76],"methods,":[77],"combinations":[79,93],"n-gram":[81],"features":[82],"using":[83],"the":[84,111],"TF-IDF":[85],"scheme":[86],"and.":[87],"addition,":[89],"eight":[95],"basic":[96],"preprocessing":[97],"methods.":[98],"best":[100],"submission":[101],"special":[104],"bidirectional":[105],"RNN,":[106],"which":[107],"ranked":[109],"at":[110],"11th":[112],"position":[113],"out":[114],"68":[116],"submissions.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
