EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020最新文献_第7页

SSN NLP @ SardiStance : Stance Detection from Italian Tweets using RNN and Transformers (short paper) SSN NLP @ SardiStance:使用RNN和transformer从意大利语推文中进行姿态检测(短文)

EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020 Pub Date : 1900-01-01 DOI: 10.4000/BOOKS.AACCADEMIA.7207

S. Kayalvizhi, D. Thenmozhi, Aravindan Chandrabose

引用次数: 1

UNITOR @ Sardistance2020: Combining Transformer-based Architectures and Transfer Learning for Robust Stance Detection UNITOR @ Sardistance2020:结合基于变压器的架构和迁移学习进行稳健的姿态检测

EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020 Pub Date : 1900-01-01 DOI: 10.4000/BOOKS.AACCADEMIA.7092

Simone Giorgioni, Marcello Politi, Samir Salman, R. Basili, D. Croce

{"title":"UNITOR @ Sardistance2020: Combining Transformer-based Architectures and Transfer Learning for Robust Stance Detection","authors":"Simone Giorgioni, Marcello Politi, Samir Salman, R. Basili, D. Croce","doi":"10.4000/BOOKS.AACCADEMIA.7092","DOIUrl":"https://doi.org/10.4000/BOOKS.AACCADEMIA.7092","url":null,"abstract":"English. This paper describes the UNITOR system that participated to the Stance Detection in Italian tweets (Sardistance) task within the context of EVALITA 2020. UNITOR implements a transformer-based architecture whose accuracy is improved by adopting a Transfer Learning technique. In particular, this work investigates the possible contribution of three auxiliary tasks related to Stance Detection, i.e., Sentiment Detection, Hate Speech Detection and Irony Detection. Moreover, UNITOR relies on an additional dataset automatically downloaded and labeled through distant supervision. The UNITOR system ranked first in Task A within the competition. This confirms the effectiveness of Transformer-based architectures and the beneficial impact of the adopted strategies. Italiano. Questo lavoro descrive UNITOR, uno dei sistemi partecipanti allo Stance Detection in Italian tweet (SardiStance) task. UNITOR implementa un’architettura neurale basata su Transformer, la cui accuratezza viene migliorata applicando un metodo di Transfer Learning, che sfrutta le informazioni di tre task ausiliari, ovvero Sentiment Detection, Hate Speech Detection e Irony Detection. Inoltre, l’addestramento di UNITOR puó contare su un insieme di dati scaricati ed etichettati automaticamente applicando un semplice metodo di Distant Supervision. Il sistema si é classificato al primo posto nella competizione, confermando l’efficacia delle architetture basate su Transformer e il contributo delle strategie","PeriodicalId":184564,"journal":{"name":"EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131011621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

UO @ HaSpeeDe2: Ensemble Model for Italian Hate Speech Detection (short paper) UO @ HaSpeeDe2:意大利语仇恨语音检测的集成模型(短文)

EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020 Pub Date : 1900-01-01 DOI: 10.4000/BOOKS.AACCADEMIA.7014

Mariano Jason Rodriguez Cisnero, Reynier Ortega Bueno

引用次数: 1

UO_4to @ TAG-it 2020: Ensemble of Machine Learning Methods (short paper) TAG-it 2020:机器学习方法集成(短论文)

EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020 Pub Date : 1900-01-01 DOI: 10.4000/BOOKS.AACCADEMIA.7270

María Fernanda Artigas Herold, Daniel Castro-Castro

引用次数: 0

By1510 @ HaSpeeDe 2: Identification of Hate Speech for Italian Language in Social Media Data (short paper) By1510 @ HaSpeeDe 2:社交媒体数据中意大利语仇恨言论的识别(短文)

EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020 Pub Date : 1900-01-01 DOI: 10.4000/BOOKS.AACCADEMIA.6942

T. Deng, Yang Bai, Hongbing Dai

{"title":"By1510 @ HaSpeeDe 2: Identification of Hate Speech for Italian Language in Social Media Data (short paper)","authors":"T. Deng, Yang Bai, Hongbing Dai","doi":"10.4000/BOOKS.AACCADEMIA.6942","DOIUrl":"https://doi.org/10.4000/BOOKS.AACCADEMIA.6942","url":null,"abstract":"English. Hate speech detection has become a crucial mission in many fields. This paper introduces the system of team By1510. In this work, we participate in the HaSpeeDe 2 (Hate Speech Detection) shared task which is organized within Evalita 2020(The Final Workshop of the 7th evaluation campaign). In order to obtain more abundant semantic information, we combine the original output of BERT-Ita and the hidden state outputs of BERT-Ita. We take part in task A. Our model achieves an F1 score of 77.66% (6/27) in the tweets test set and our model achieves an F1 score of 66.38% (14/27) in the news headlines test set. Italiano. L’ individuazione dell’ incitamento allodio diventata una missione cruciale in molti campi. Questo articolo introduce il sistema del team By1510. In questo lavoro, partecipiamo al task HaSpeeDe 2 che stato organizzato allinterno di Evalita 2020. Per ottenere informazioni semantiche pi abbondanti abbiamo combinato loutput originale di BERT Ita e gli output di hidden state di BERT Ita. Il sistema presentato partecipa al task A. Il nostro modello ottiene un punteggio F1 di 77.66% (6/27) sui dati di test da Twitter e un punteggio F1 di 66.38% (14/27) sui dati di test contenenti titoli di quotidiano. Copyright c © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).","PeriodicalId":184564,"journal":{"name":"EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020","volume":"127 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113987147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1