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Found 36 papers, 3 papers with code
Enhancing Multiple-Choice Question Answering with Causal Knowledge
To the best of our knowledge, no prior work has explored the efficacy of augmenting pretrained language models with external causal knowledge for multiple-choice causal question answering.
NUIG-DSI’s submission to The GEM Benchmark 2021
This paper describes the submission by NUIG-DSI to the GEM benchmark 2021.
Improving Wordnets for Under-Resourced Languages Using Machine Translation
In addition to that, we carried out a manual evaluation of the translations for the Tamil language, where we demonstrate that our approach can aid in improving wordnet resources for under-resourced Dravidian languages.
Analysing the Correlation between Lexical Ambiguity and Translation Quality in a Multimodal Setting using WordNet
To calculate the ambiguity of a sentence, we extract the ambiguity scores for all nouns based on the number of senses in WordNet.
Instance Selection for Online Automatic Post-Editing in a multi-domain scenario
In recent years, several end-to-end online translation systems have been proposed to successfully incorporate human post-editing feedback in the translation workflow.
NUIG-DSI at the WebNLG+ challenge: Leveraging Transfer Learning for RDF-to-text generation
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.
KG-CRuSE: Recurrent Walks over Knowledge Graph for Explainable Conversation Reasoning using Semantic Embeddings
A crucial challenge of such systems is to select facts from a knowledge graph pertinent to the dialogue context for response generation.
Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages
Bilingual lexicons are a vital tool for under-resourced languages and recent state-of-the-art approaches to this leverage pretrained monolingual word embeddings using supervised or semi-supervised approaches.
Utilising Knowledge Graph Embeddings for Data-to-Text Generation
Data-to-text generation has recently seen a move away from modular and pipeline architectures towards end-to-end architectures based on neural networks.
Towards Sustainable Workplace Mental Health: A Novel Approach to Early Intervention and Support
Employee well-being is a critical concern in the contemporary workplace, as highlighted by the American Psychological Association's 2021 report, indicating that 71% of employees experience stress or tension.
An Assessment on Comprehending Mental Health through Large Language Models
Mental health challenges pose considerable global burdens on individuals and communities.
TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes
To enable this analysis, we enhanced an existing dataset by annotating the data with our defined classes, resulting in a dataset of 8, 881 IWT or multimodal memes in the English language (TrollsWithOpinion dataset).
Suggest me a movie for tonight: Leveraging Knowledge Graphs for Conversational Recommendation
Conversational recommender systems focus on the task of suggesting products to users based on the conversation flow.
NUIG at SemEval-2020 Task 12: Pseudo Labelling for Offensive Content Classification
This work is licensed under a Creative Commons Attribution 4. 0 International Licence.
Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios
Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate text from source to target language.
A Survey of Orthographic Information in Machine Translation
It introduces under-resourced languages in terms of machine translation and how orthographic information can be utilised to improve machine translation.
A Dataset for Troll Classification of TamilMemes
Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among people.
NUIG at TIAD: Combining Unsupervised NLP and Graph Metrics for Translation Inference
In this paper, we present the NUIG system at the TIAD shard task.
Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text
Since there was no publicly available dataset for multimodal offensive meme content detection, we leveraged the memes related to the 2016 U. S. presidential election and created the MultiOFF multimodal meme dataset for offensive content detection dataset.
Passive Diagnosis Incorporating the PHQ-4 for Depression and Anxiety
Depression and anxiety are the two most prevalent mental health disorders worldwide, impacting the lives of millions of people each year.
Polylingual Wordnet
The translation of wordnets is fundamentally complex because of the need to translate all senses of a word including low frequency senses, which is very challenging for current machine translation approaches.
Translating Questions into Answers using DBPedia n-triples
In this paper we present a question answering system using a neural network to interpret questions learned from the DBpedia repository.
Translating Terminological Expressions in Knowledge Bases with Neural Machine Translation
Our work presented in this paper focuses on the translation of terminological expressions represented in semantically structured resources, like ontologies or knowledge graphs.
Expanding wordnets to new languages with multilingual sense disambiguation
The translation of wordnets is fundamentally complex because of the need to translate all senses of a word including low frequency senses, which is very challenging for current machine translation approaches.
IRIS: English-Irish Machine Translation System
We describe IRIS, a statistical machine translation (SMT) system for translating from English into Irish and vice versa.
