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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 ...
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 ...
Enhancing multiple-choice question answering with causal knowledge
(Association for Computational Linguistics, 2021-06-10)
The task of causal question answering aims to reason about causes and effects over a provided real or hypothetical premise. Recent approaches have converged on using transformer-based language models to solve question ...
Towards bootstrapping a chatbot on industrial heritage through term and relation extraction
(Association for Computational Linguistics (ACL), 2022-11-20)
We describe initial work in developing a
methodology for the automatic generation of a
conversational agent or ‘chatbot’ through term
and relation extraction from a relevant corpus
of language data. We develop our ...