Hope at SemEval-2019 Task 6: Mining social media language to discover offensive language

2019-06-01 · SEMEVAL 2019 6 · Gabriel Florentin Patras, Diana Florina Lungu, Daniela Gifu, Tr, Diana abat

User{'}s content share through social media has reached huge proportions nowadays. However, along with the free expression of thoughts on social media, people risk getting exposed to various aggressive statements. In this paper, we present a system able to identify and classify offensive user-generated content.

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GWU NLP at SemEval-2019 Task 7: Hybrid Pipeline for Rumour Veracity and Stance Classification on Social Media

2019-06-01 · SEMEVAL 2019 6 · Sardar Hamidian, Mona Diab

Social media plays a crucial role as the main resource news for information seekers online. However, the unmoderated feature of social media platforms lead to the emergence and spread of untrustworthy contents which harm…

General Classification Stance Classification

Fine-Tune Longformer for Jointly Predicting Rumor Stance and Veracity

2020-07-15 · Anant Khandelwal

Increased usage of social media caused the popularity of news and events which are not even verified, resulting in spread of rumors allover the web. Due to widely available social media platforms and increased usage caus…

Multi-Task Learning Rumour Detection Stance Classification Stance Detection+2

eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information

2019-06-01 · SEMEVAL 2019 6 · Quanzhi Li, Qiong Zhang, Luo Si

This paper describes our system for SemEval 2019 RumorEval: Determining rumor veracity and support for rumors (SemEval 2019 Task 7). This track has two tasks: Task A is to determine a user{'}s stance towards the source r…

General Classification Stance Classification

UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features

2017-08-01 · SEMEVAL 2017 8 · Hareesh Bahuleyan, Olga Vechtomova

This paper describes our system for subtask-A: SDQC for RumourEval, task-8 of SemEval 2017. Identifying rumours, especially for breaking news events as they unfold, is a challenging task due to the absence of sufficient …

Rumour Detection Stance Detection

BRUMS at SemEval-2020 Task 12: Transformer Based Multilingual Offensive Language Identification in Social Media

2020-12-01 · SEMEVAL 2020 · Tharindu Ranasinghe, Hansi Hettiarachchi

In this paper, we describe the team \textit{BRUMS} entry to OffensEval 2: Multilingual Offensive Language Identification in Social Media in SemEval-2020. The OffensEval organizers provided participants with annotated dat…

Language Identification