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    AuthorBisht, Abhimanyu Singh (1)Desai, Harsh Sanjaykumar (1)Makwana, Vivek H. (1)Parikh, Apurva Ketanbhai (1)Shah, Dishant (1)Subject
    Natural language processing (5)
    Deep learning (3)Agile framework (1)Clickbait detection (1)Common-sense reasoning (1)Conceptual model (1)Data science (1)Dialogue acts (1)Dialogue generation (1)Fake news (1)... View MoreDate Issued2020 (4)2021 (1)Has File(s)
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    Clickbait detection using deep learning Techniques 

    Parikh, Apurva Ketanbhai (2020)
    With the growing shift towards news consumption primarily through social media sites like Twitter, Facebook etc., most of the news agencies are prompting their stories on social media platform. These news agencies are ...
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    Apparel attributes classification using deep learning 

    Desai, Harsh Sanjaykumar (2020)
    Apparel attributes classification finds a practical applications in E-Commerce. The project is for www.Blibli.com website which is an E-commerce Platform in Indonesia and a partner of Coviam Technologies. This report ...
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    Augmenting dialogue generation using dialogue act embeddings: a transfer learning approach 

    Bisht, Abhimanyu Singh (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
    The following work looks at contemporary end-to-end dialogue systems with the aim of improving dialogue generation in an open-domain setting. It provides an overview of popular literature in the domain of dialogue generation, ...
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    Commonsense validation and explanation 

    Makwana, Vivek H. (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
    Common-sense reasoning[1] is a field of artificial intelligence and machine learning that focuses on helping computers understand and interact with people more naturally by finding ways to collect these assumptions and ...
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    User Stories to Concept Map: An approach to Visualise Dependencies 

    Shah, Dishant (2021)
    "Writing the user stories which captures the user’s perspective in the agile framework is the starting step of gathering requirements. As user stories are written informally with fewer restrictions but may get affected ...

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