Search
Now showing items 1-5 of 5
Multimodal meme dataset (MultiOFF) for identifying offensive content in image and text
(European Language Resources Association (ELRA), 2020-05-11)
A meme is a form of media that spreads an idea or emotion across the internet. As posting meme has become a new form of
communication of the web, due to the multimodal nature of memes, postings of hateful memes or related ...
A dataset for troll classification of Tamil memes
(European Language Resources Association (ELRA), 2020-05-11)
Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among
people. This exchange is not free from offensive, trolling or malicious contents ...
NUIG at TIAD: Combining unsupervised NLP and graph metrics for translation inference
(European Language Resources Association (ELRA), 2020-05-11)
In this paper, we present the NUIG system at the TIAD shard task. This system includes graph-based metrics calculated using novel
algorithms, with an unsupervised document embedding tool called ONETA and an unsupervised ...
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 ...
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 ...