Search Results for author: Hansi Hettiarachchi

Found 17 papers, 8 papers with code

DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection

no code implementations ACL (CASE) 2021 Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal, Mohamed Medhat Gaber

Automatic socio-political and crisis event detection has been a challenge for natural language processing as well as social and political science communities, due to the diversity and nuance in such events and high accuracy requirements.

Event Detection Sentence

SOLD: Sinhala Offensive Language Dataset

1 code implementation1 Dec 2022 Tharindu Ranasinghe, Isuri Anuradha, Damith Premasiri, Kanishka Silva, Hansi Hettiarachchi, Lasitha Uyangodage, Marcos Zampieri

SOLD is a manually annotated dataset containing 10, 000 posts from Twitter annotated as offensive and not offensive at both sentence-level and token-level, improving the explainability of the ML models.

Language Identification Sentence

Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022

no code implementations21 Nov 2022 Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan, Onur Uca, Alaeddin Selçuk Gürel, Benjamin Radford, Yaoyao Dai, Hansi Hettiarachchi, Niklas Stoehr, Tadashi Nomoto, Milena Slavcheva, Francielle Vargas, Aaqib Javid, Fatih Beyhan, Erdem Yörük

The CASE 2022 extension consists of expanding the test data with more data in previously available languages, namely, English, Hindi, Portuguese, and Spanish, and adding new test data in Mandarin, Turkish, and Urdu for Sub-task 1, document classification.

Document Classification Event Detection +3

Transformers to Fight the COVID-19 Infodemic

1 code implementation NAACL (NLP4IF) 2021 Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi

NLP4IF-2021 shared task on fighting the COVID-19 infodemic has been organised to strengthen the research in false information detection where the participants are asked to predict seven different binary labels regarding false information in a tweet.

TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation

no code implementations SEMEVAL 2021 Hansi Hettiarachchi, Tharindu Ranasinghe

Identifying whether a word carries the same meaning or different meaning in two contexts is an important research area in natural language processing which plays a significant role in many applications such as question answering, document summarisation, information retrieval and information extraction.

Information Retrieval Question Answering +2

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

no code implementations 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.

Language Identification

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

no code implementations13 Oct 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.

Language Identification

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

1 code implementation EMNLP (WNUT) 2020 Hansi Hettiarachchi, Tharindu Ranasinghe

Identifying informative tweets is an important step when building information extraction systems based on social media.

Task 2

Emoji Powered Capsule Network to Detect Type and Target of Offensive Posts in Social Media

no code implementations RANLP 2019 Hansi Hettiarachchi, Tharindu Ranasinghe

This paper describes a novel research approach to detect type and target of offensive posts in social media using a capsule network.

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