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A sentiment analysis dataset for code-mixed Malayalam-English
(European Language Resources Association (ELRA), 2020-05-11)
There is an increasing demand for sentiment analysis of text from social media which are mostly code-mixed. Systems trained on
monolingual data fail for code-mixed data due to the complexity of mixing at different levels ...
A comparative study of different state-of-the-art hate speech detection methods in Hindi-English code-mixed data
(European Language Resources Association (ELRA), 2020-05-11)
Hate speech detection in social media communication has become one of the primary concerns to avoid conflicts and curb undesired activities. In an environment where multilingual speakers switch among multiple languages, ...
A corpus of the Sorani Kurdish folkloric lyrics
(National University of Ireland Galway, 2020-05-16)
Kurdish poetry and prose narratives were historically transmitted orally and less in a written form. Being an essential medium of oral
narration and literature, Kurdish lyrics have had a unique attribute in becoming a ...
Is trust between AI institutions and the public “morally rotten?”
(Machine Ethics Research Group, School of Computer Science, University College Dublin, 2020)
Developing artificial Intelligence (AI) technology has become a business of power. AI
innovation is increasingly centralized in a few large companies – mainly, Google, Facebook, and
Apple.1 Specialized data scientists - ...
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 ...
Challenges of word sense alignment: Portuguese language resources
(National University of Ireland Galway, 2020-05-16)
This paper reports on an ongoing task of monolingual word sense alignment in which a comparative study between the Portuguese
Academy of Sciences Dictionary and the Dicionario Aberto ´ is carried out in the context of the ...
Corpus creation for sentiment analysis in code-mixed Tamil-English text
(European Language Resources Association (ELRA), 2020-05-11)
Understanding the sentiment of a comment from a video or an image is an essential task in many applications. Sentiment analysis
of a text can be useful for various decision-making processes. One such application is to ...
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 ...