34 citations · 64 across the 14 of their papers we have counts for
14 papers · 1 filter
APEX-VW: A Document-Level English-Spanish Post-Editing Dataset in the Healthcare Domain
Marie Escribe, Tharindu Ranasinghe, Amal Haddad Haddad +2
Post-Editing (PE) of Machine Translation (MT) output often involves repeating the same lexical and terminological corrections across many segments, especially in specialised and hi…
MUNIChus: Multilingual News Image Captioning Benchmark
Yuji Chen, Alistair Plum, Hansi Hettiarachchi +4
The goal of news image captioning is to generate captions by integrating news article content with corresponding images, highlighting the relationship between textual context and v…
AHaSIS: Shared Task on Sentiment Analysis for Arabic Dialects
Maram Alharbi, Salmane Chafik, Saad Ezzini +3
The hospitality industry in the Arab world increasingly relies on customer feedback to shape services, driving the need for advanced Arabic sentiment analysis tools. To address thi…
Overview of the First Workshop on Language Models for Low-Resource Languages (LoResLM 2025)
Hansi Hettiarachchi, Tharindu Ranasinghe, Paul Rayson +5
The first Workshop on Language Models for Low-Resource Languages (LoResLM 2025) was held in conjunction with the 31st International Conference on Computational Linguistics (COLING…
NSINA: A News Corpus for Sinhala
Hansi Hettiarachchi, Damith Premasiri, Lasitha Uyangodage +1
The introduction of large language models (LLMs) has advanced natural language processing (NLP), but their effectiveness is largely dependent on pre-training resources. This is esp…
SOLD: Sinhala Offensive Language Dataset
Tharindu Ranasinghe, Isuri Anuradha, Damith Premasiri +4
The widespread of offensive content online, such as hate speech and cyber-bullying, is a global phenomenon. This has sparked interest in the artificial intelligence (AI) and natura…
Event Causality Identification with Causal News Corpus -- Shared Task 3, CASE 2022
Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoğlu +4
The Event Causality Identification Shared Task of CASE 2022 involved two subtasks working on the Causal News Corpus. Subtask 1 required participants to predict if a sentence contai…
Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022
Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan +12
We report results of the CASE 2022 Shared Task 1 on Multilingual Protest Event Detection. This task is a continuation of CASE 2021 that consists of four subtasks that are i) docume…
The Causal News Corpus: Annotating Causal Relations in Event Sentences from News
Fiona Anting Tan, Ali Hürriyetoğlu, Tommaso Caselli +7
Despite the importance of understanding causality, corpora addressing causal relations are limited. There is a discrepancy between existing annotation guidelines of event causality…
Transformers to Fight the COVID-19 Infodemic
Lasitha Uyangodage, Tharindu Ranasinghe, Hansi Hettiarachchi
The massive spread of false information on social media has become a global risk especially in a global pandemic situation like COVID-19. False information detection has thus becom…
TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation
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…
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…
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…
BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity
Hansi Hettiarachchi, Tharindu Ranasinghe
This paper presents the team BRUMS submission to SemEval-2020 Task 3: Graded Word Similarity in Context. The system utilises state-of-the-art contextualised word embeddings, which…