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    Author
    Arcan, Mihael (4)
    Buitelaar, Paul (4)
    Chakravarthi, Bharathi Raja (2)Pasricha, Nivranshu (2)McCrae, John P. (1)... View MoreSubjectWebNLG (2)classification (1)Data-to-Text Generation (1)Indian language data (1)Knowledge Graph Embeddings (1)... View MoreDate Issued2020 (4)Type
    Workshop paper (4)

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    Multimodal meme dataset (MultiOFF) for identifying offensive content in image and text 

    Suryawanshi, Shardul; Chakravarthi, Bharathi Raja; Arcan, Mihael; Buitelaar, Paul (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 ...
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    A dataset for troll classification of Tamil memes 

    Chakravarthi, Bharathi Raja; Varma, Pranav; Arcan, Mihael; McCrae, John P.; Buitelaar, Paul; Shardul, Suryawanshi (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 ...
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    Utilising knowledge graph embeddings for data-to-text generation 

    Pasricha, Nivranshu; Arcan, Mihael; Buitelaar, Paul (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 ...
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    NUIG-DSI at the WebNLG+ challenge: Leveraging transfer learning for RDF-to-text generation 

    Pasricha, Nivranshu; Arcan, Mihael; Buitelaar, Paul (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 ...
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