11 citations · 20 across the 7 of their papers we have counts for
7 papers
SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval
Isidora Chara Tourni, Sayontan Ghosh, Brenda Miao +1
This paper explores the problems of Question Answering (QA) and Named Entity Recognition (NER) in five diverse languages. We tested five Large Language Models with various promptin…
Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage
Isidora Chara Tourni, Lei Guo, Hengchang Hu +9
News media structure their reporting of events or issues using certain perspectives. When describing an incident involving gun violence, for example, some journalists may focus on…
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution
Isidora Chara Tourni, Derry Wijaya
Unsupervised Neural Machine Translation (UNMT) focuses on improving NMT results under the assumption there is no human translated parallel data, yet little work has been done so fa…
Relevance-guided Neural Machine Translation
Isidora Chara Tourni, Derry Wijaya
With the advent of the Transformer architecture, Neural Machine Translation (NMT) results have shown great improvement lately. However, results in low-resource conditions still lag…
Direct Neural Machine Translation with Task-level Mixture of Experts models
Isidora Chara Tourni, Subhajit Naskar
Direct neural machine translation (direct NMT) is a type of NMT system that translates text between two non-English languages. Direct NMT systems often face limitations due to the…
ChatGPT is all you need to decolonize sub-Saharan Vocational Education
Isidora Tourni, Georgios Grigorakis, Isidoros Marougkas +2
The advances of Generative AI models with interactive capabilities over the past few years offer unique opportunities for socioeconomic mobility. Their potential for scalability, a…
Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages
Garry Kuwanto, Afra Feyza Akyürek, Isidora Chara Tourni +3
We conduct an empirical study of neural machine translation (NMT) for truly low-resource languages, and propose a training curriculum fit for cases when both parallel training data…