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Findings of the LoResMT 2021 shared task on COVID and sign language for low-resource languages
(Association for Machine Translation in the Americas, 2021-08)
We present the findings of the LoResMT 2021 shared task which focuses on machine translation (MT) of COVID-19 data for both low-resource spoken and sign languages. The organization of this task was conducted as part of the ...
ULD@NUIG at SemEval-2020 Task 9: Generative morphemes with an attention model for sentiment analysis in code-mixed text
(International Committee for Computational Linguistics, 2020)
Code mixing is a common phenomena in multilingual societies where people switch from one language to another for various reasons. Recent advances in public communication over different social media sites have led to an ...
Findings of the LoResMT 2020 shared task on zero-shot for low-resource languages
(Association for Computational Linguistics, 2020-12-04)
This paper presents the findings of the LoResMT 2020 Shared Task on zero-shot translation for low resource languages. This task was organised as part of the 3rd Workshop on Technologies for MT of Low Resource Languages ...
Utilising knowledge graph embeddings for data-to-text generation
(Association for Computational Linguistics, 2020-12-18)
Data-to-text generation has recently seen a move away from modular and pipeline architectures towards end-to-end architectures based on neural networks. In this work, we employ knowledge graph embeddings and explore their ...
Edge2Guard: Botnet attacks detecting offline models for resource-constrained IoT devices
(National University of Ireland Galway, 2021-03-22)
In today's IoT smart environments, dozens of MCU-based connected device types exist such as HVAC controllers, smart meters, smoke detectors, etc. The security conditions for these essential IoT devices remain unsatisfactory ...
NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020
(Association for Computational Linguistics, 2020-11-19)
NUIG-Panlingua-KMI submission to WMT
2020 seeks to push the state-of-the-art in the
Similar language translation task for the Hindi
↔ Marathi language pair. As part of these efforts, we conducted a series of experiments
to ...
Uncovering semantic bias in neural network models using a knowledge graph
(ACM, 2020-10-19)
While neural networks models have shown impressive performance
in many NLP tasks, lack of interpretability is often seen as a disadvantage. Individual relevance scores assigned by post-hoc explanation methods are not ...
The data ethics challenges of explainable AI and their knowledge-based solutions
(IOS Press, 2020-05)
Abstract. Explainable AI has recently gained momentum as an approach to overcome some of the more obvious ethical implications of the increasingly widespread
application of AI (mostly machine learning). It is however not ...
NUIG-DSI at the WebNLG+ challenge: Leveraging transfer learning for RDF-to-text generation
(Association for Computational Linguistics, 2020-12-18)
This paper describes the system submitted by NUIG-DSI to the WebNLG+ challenge 2020 in the RDF-to-text generation task for the English language. For this challenge, we leverage transfer learning by adopting the T5 model ...
Synergy between embedding and protein functional association networks for drug label prediction using harmonic function
(ACM and IEEE, 2020-10-16)
Semi-Supervised Learning (SSL) is an approach to machine learning that makes use of unlabeled data for training with a small amount of labeled data. In the context of molecular biology and pharmacology, one can take advantage ...