{"id":"https://openalex.org/W2954453969","doi":"https://doi.org/10.18653/v1/s19-2101","title":"CN-HIT-MI.T at SemEval-2019 Task 6: Offensive Language Identification Based on BiLSTM with Double Attention","display_name":"CN-HIT-MI.T at SemEval-2019 Task 6: Offensive Language Identification Based on BiLSTM with Double Attention","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2954453969","doi":"https://doi.org/10.18653/v1/s19-2101","mag":"2954453969"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2101","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2101","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/s19-2101","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002643603","display_name":"Yaojie Zhang","orcid":"https://orcid.org/0000-0002-4220-1623"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yaojie Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101419705","display_name":"Bing Xu","orcid":"https://orcid.org/0000-0003-3795-7263"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bing Xu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101661008","display_name":"Tiejun Zhao","orcid":"https://orcid.org/0000-0003-4659-4935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tiejun Zhao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002643603"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6469496,"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":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":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"}},{"id":"https://openalex.org/T13959","display_name":"Swearing, Euphemism, Multilingualism","score":0.9550999999046326,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.889937162399292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8243001103401184},{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.7605606913566589},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6670728921890259},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6529281139373779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.648809552192688},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6430296301841736},{"id":"https://openalex.org/keywords/emoji","display_name":"Emoji","score":0.5742374062538147},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47002410888671875},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.267541766166687},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14660823345184326}],"concepts":[{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.889937162399292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8243001103401184},{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.7605606913566589},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6670728921890259},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6529281139373779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.648809552192688},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6430296301841736},{"id":"https://openalex.org/C2779247141","wikidata":"https://www.wikidata.org/wiki/Q1049294","display_name":"Emoji","level":3,"score":0.5742374062538147},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47002410888671875},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.267541766166687},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14660823345184326},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/s19-2101","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2101","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/s19-2101","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2101","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":[{"score":0.6899999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2250539671","https://openalex.org/W2739978796","https://openalex.org/W2750747353","https://openalex.org/W2806872289","https://openalex.org/W2898959175","https://openalex.org/W2912102236","https://openalex.org/W2922580172","https://openalex.org/W2962932155","https://openalex.org/W2962977603","https://openalex.org/W2962993339","https://openalex.org/W2963291843","https://openalex.org/W2963341956","https://openalex.org/W2963943967","https://openalex.org/W3013027210"],"related_works":["https://openalex.org/W4389567774","https://openalex.org/W4366957678","https://openalex.org/W4285115135","https://openalex.org/W2985411437","https://openalex.org/W2510851569","https://openalex.org/W3207908059","https://openalex.org/W2797785016","https://openalex.org/W2807533849","https://openalex.org/W2922580172","https://openalex.org/W2805057102"],"abstract_inverted_index":{"Offensive":[0,9],"language":[1],"has":[2],"become":[3],"pervasive":[4],"in":[5,80,84,98,108],"social":[6],"media.":[7],"In":[8,113],"Language":[10],"Identification":[11],"tasks,":[12],"it":[13],"may":[14],"be":[15],"difficult":[16],"to":[17,22,29,61,74],"predict":[18],"accurately":[19],"only":[20],"according":[21],"the":[23],"surface":[24],"words.":[25],"So":[26],"we":[27,116],"try":[28],"dig":[30],"deeper":[31],"semantic":[32,51,76],"information":[33,77],"of":[34,78,87,127],"text.":[35,81],"This":[36],"paper":[37],"presents":[38],"use":[39],"an":[40,68],"attention-based":[41],"two":[42,63],"layers":[43],"bidirectional":[44],"longshort":[45],"memory":[46],"neural":[47],"network":[48],"(BiLSTM)":[49],"for":[50],"feature":[52],"extraction.":[53],"Additionally,":[54],"a":[55],"residual":[56],"connection":[57],"mechanism":[58,71],"is":[59,72,101],"used":[60,73],"synthesize":[62],"different":[64],"deep":[65],"features,":[66],"and":[67],"emoji":[69],"attention":[70],"extract":[75],"emojis":[79],"We":[82,105,121],"participated":[83],"three":[85],"sub-tasks":[86],"SemEval":[88],"2019":[89],"Task":[90],"6":[91],"as":[92],"CN-HIT-MI.T":[93],"team.":[94],"Our":[95],"macro-averaged":[96],"F1-score":[97],"sub-task":[99,109,114],"A":[100],"0.768,":[102],"ranking":[103,111,119],"28/103.":[104],"got":[106,117],"0.638":[107],"B,":[110],"30/75.":[112],"C,":[115],"0.549,":[118],"22/65.":[120],"also":[122],"tried":[123],"some":[124],"other":[125],"methods":[126],"not":[128],"submitting":[129],"results.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
