{"id":"https://openalex.org/W2955202105","doi":"https://doi.org/10.18653/v1/s19-2140","title":"UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense","display_name":"UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2955202105","doi":"https://doi.org/10.18653/v1/s19-2140","mag":"2955202105"},"language":"en","primary_location":{"id":"doi:10.18653/v1/s19-2140","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2140","pdf_url":"https://www.aclweb.org/anthology/S19-2140.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/S19-2140.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103282283","display_name":"Gustavo Henrique Paetzold","orcid":"https://orcid.org/0000-0001-9951-050X"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]},{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Gustavo Henrique Paetzold","raw_affiliation_strings":["Universidade Tecnolgica Federal do Paran / Toledo-PR, Brazil","Universidade Tecnol\u00f3gica Federal do Paran\u00e1 / Toledo-PR, Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Tecnolgica Federal do Paran / Toledo-PR, Brazil","institution_ids":["https://openalex.org/I1283613182","https://openalex.org/I59606676"]},{"raw_affiliation_string":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1 / Toledo-PR, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103282283"],"corresponding_institution_ids":["https://openalex.org/I1283613182","https://openalex.org/I59606676"],"apc_list":null,"apc_paid":null,"fwci":0.4335,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71490095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"801","last_page":"805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9991999864578247,"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":0.9983999729156494,"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/principle-of-compositionality","display_name":"Principle of compositionality","score":0.9019485116004944},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.8864543437957764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8556790351867676},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7691139578819275},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7018952965736389},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6995914578437805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.650172770023346},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.5076743364334106},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42252326011657715},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22479549050331116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.047998517751693726}],"concepts":[{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.9019485116004944},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.8864543437957764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8556790351867676},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7691139578819275},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7018952965736389},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6995914578437805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650172770023346},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.5076743364334106},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42252326011657715},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22479549050331116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.047998517751693726},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/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/s19-2140","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2140","pdf_url":"https://www.aclweb.org/anthology/S19-2140.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/s19-2140","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/s19-2140","pdf_url":"https://www.aclweb.org/anthology/S19-2140.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":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G5321982477","display_name":null,"funder_award_id":"Titan V GPU","funder_id":"https://openalex.org/F4320309480","funder_display_name":"Nvidia"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2955202105.pdf","grobid_xml":"https://content.openalex.org/works/W2955202105.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1899794420","https://openalex.org/W1938755728","https://openalex.org/W2608110195","https://openalex.org/W2888645598","https://openalex.org/W2891209320","https://openalex.org/W2900221583","https://openalex.org/W2906979176","https://openalex.org/W2922580172","https://openalex.org/W2951559648","https://openalex.org/W2962932155","https://openalex.org/W2962977603","https://openalex.org/W2963151059","https://openalex.org/W3013027210","https://openalex.org/W3103956726"],"related_works":["https://openalex.org/W4251923961","https://openalex.org/W1526190050","https://openalex.org/W2477397717","https://openalex.org/W2500457737","https://openalex.org/W2010490241","https://openalex.org/W4287025733","https://openalex.org/W4317425742","https://openalex.org/W3192500523","https://openalex.org/W4241382148","https://openalex.org/W2188275805"],"abstract_inverted_index":{"We":[0,28],"present":[1],"the":[2,6,21,26,36,46],"UTFPR":[3],"system":[4],"for":[5,35],"Of-fensEval":[7],"shared":[8],"task":[9,37],"of":[10],"SemEval":[11],"2019:":[12],"A":[13],"character-to-word-to-sentence":[14],"compositional":[15],"RNN":[16],"model":[17],"trained":[18],"exclusively":[19],"over":[20],"training":[22],"data":[23],"provided":[24],"by":[25],"organizers.":[27],"find":[29],"that,":[30],"although":[31],"not":[32],"very":[33],"competitive":[34],"at":[38],"hand,":[39],"it":[40],"offers":[41],"a":[42],"robust":[43],"solution":[44],"to":[45,50],"orthographic":[47],"irregularity":[48],"inherent":[49],"tweets.":[51]},"counts_by_year":[{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}