11 citations · 28 across the 12 of their papers we have counts for
15 papers
LLM-based Embedders for Prior Case Retrieval
Damith Premasiri, Tharindu Ranasinghe, Ruslan Mitkov
In common law systems, legal professionals such as lawyers and judges rely on precedents to build their arguments. As the volume of cases has grown massively over time, effectively…
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…
DORE: A Dataset For Portuguese Definition Generation
Anna Beatriz Dimas Furtado, Tharindu Ranasinghe, Frédéric Blain +1
Definition modelling (DM) is the task of automatically generating a dictionary definition for a specific word. Computational systems that are capable of DM can have numerous applic…
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…
Transformer-based Detection of Multiword Expressions in Flower and Plant Names
Damith Premasiri, Amal Haddad Haddad, Tharindu Ranasinghe +1
Multiword expression (MWE) is a sequence of words which collectively present a meaning which is not derived from its individual words. The task of processing MWEs is crucial in man…