paper-with-me

홈 › Papers

NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets

2020-12-01 · SEMEVAL 2020 · Hamada Nayel

In this paper, we present the system submitted to {``}SemEval-2020 Task 12{''}. The proposed system aims at automatically identify the Offensive Language in Arabic Tweets. A machine learning based approach has been used to design our system. We implemented a linear classifier with Stochastic Gradient Descent (SGD) as optimization algorithm. Our model reported 84.20{\%}, 81.82{\%} f1-score on development set and test set respectively. The best performed system and the system in the last rank reported 90.17{\%} and 44.51{\%} f1-score on test set respectively.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets

2020-07-27 · Hamada A. Nayel

In this paper, we present the system submitted to "SemEval-2020 Task 12". The proposed system aims at automatically identify the Offensive Language in Arabic Tweets. A machine learning based approach has been used to des…

BIG-bench Machine Learning

SINAI at SemEval-2019 Task 6: Incorporating lexicon knowledge into SVM learning to identify and categorize offensive language in social media

2019-06-01 · SEMEVAL 2019 6 · Flor Miriam Plaza-del-Arco, M. Dolores Molina-Gonz{\'a}lez, Maite Martin, L. Alfonso Ure{\~n}a-L{\'o}pez

Offensive language has an impact across society. The use of social media has aggravated this issue among online users, causing suicides in the worst cases. For this reason, it is important to develop systems capable of i…

General Classification

Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification using Pre-trained Language Models

2020-10-07 · SEMEVAL 2020 · Shuohuan Wang, Jiaxiang Liu, Xuan Ouyang, Yu Sun

This paper describes Galileo's performance in SemEval-2020 Task 12 on detecting and categorizing offensive language in social media. For Offensive Language Identification, we proposed a multi-lingual method using Pre-tra…

AllKnowledge DistillationLanguage IdentificationXLM-R

DeepAnalyzer at SemEval-2019 Task 6: A deep learning-based ensemble method for identifying offensive tweets

2019-06-01 · SEMEVAL 2019 6 · Gretel Liz De la Pe{\~n}a, Paolo Rosso

This paper describes the system we developed for SemEval 2019 on Identifying and Categorizing Offensive Language in Social Media (OffensEval - Task 6). The task focuses on offensive language in tweets. It is organized in…

Language IdentificationPart-Of-Speech Tagging

Garain at SemEval-2020 Task 12: Sequence based Deep Learning for Categorizing Offensive Language in Social Media

2020-09-02 · SEMEVAL 2020 · Avishek Garain

SemEval-2020 Task 12 was OffenseEval: Multilingual Offensive Language Identification in Social Media (Zampieri et al., 2020). The task was subdivided into multiple languages and datasets were provided for each one. The t…

Language Identification