6 papers · 1 filter
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…
A Federated Learning Approach to Privacy Preserving Offensive Language Identification
Marcos Zampieri, Damith Premasiri, Tharindu Ranasinghe
The spread of various forms of offensive speech online is an important concern in social media. While platforms have been investing heavily in ways of coping with this problem, the…
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…
Can Model Fusing Help Transformers in Long Document Classification? An Empirical Study
Damith Premasiri, Tharindu Ranasinghe, Ruslan Mitkov
Text classification is an area of research which has been studied over the years in Natural Language Processing (NLP). Adapting NLP to multiple domains has introduced many new chal…
Deep Learning Methods for Extracting Metaphorical Names of Flowers and Plants
Amal Haddad Haddad, Damith Premasiri, Tharindu Ranasinghe +1
The domain of Botany is rich with metaphorical terms. Those terms play an important role in the description and identification of flowers and plants. However, the identification of…
BERT(s) to Detect Multiword Expressions
Damith Premasiri, Tharindu Ranasinghe
Multiword expressions (MWEs) present groups of words in which the meaning of the whole is not derived from the meaning of its parts. The task of processing MWEs is crucial in many…