activity
20192023
most citedOffensive Language Identification in Greek

78 citations · 156 across the 29 of their papers we have counts for

collaborators
Showing 2020Show all

10 papers · 1 filter

cs.CL2020

TransQuest: Translation Quality Estimation with Cross-lingual Transformers

Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov

Recent years have seen big advances in the field of sentence-level quality estimation (QE), largely as a result of using neural-based architectures. However, the majority of these…

cs.CL2020★ 7 cited

WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments

Tharindu Ranasinghe, Sarthak Gupte, Marcos Zampieri +1

This paper describes the WLV-RIT entry to the Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) shared task 2020. The HASOC 2020 organizers provid…

cs.CL2020

RGCL at SemEval-2020 Task 6: Neural Approaches to Definition Extraction

Tharindu Ranasinghe, Alistair Plum, Constantin Orasan +1

This paper presents the RGCL team submission to SemEval 2020 Task 6: DeftEval, subtasks 1 and 2. The system classifies definitions at the sentence and token levels. It utilises sta…

cs.CL2020

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

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…

cs.CL2020

InfoMiner at WNUT-2020 Task 2: Transformer-based Covid-19 Informative Tweet Extraction

Hansi Hettiarachchi, Tharindu Ranasinghe

Identifying informative tweets is an important step when building information extraction systems based on social media. WNUT-2020 Task 2 was organised to recognise informative twee…

cs.CL2020★ 3 cited

Multilingual Offensive Language Identification with Cross-lingual Embeddings

Tharindu Ranasinghe, Marcos Zampieri

Offensive content is pervasive in social media and a reason for concern to companies and government organizations. Several studies have been recently published investigating method…