Essays about: "text generator"
Showing result 6 - 10 of 20 essays containing the words text generator.
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6. An automatic storytelling system based on natural language processing
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : With the rapid development of science and technology, high technology tools have been widely used in educational field. Recent studies reported thatintelligent social robots are being widely used in early childhood education. Artificialintelligence technology is playing a crucial role in the application of robots. READ MORE
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7. Generation of random numbers from the text found in tweets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Random numbers are integral to many areas of computer science, it is used in everything from video games to encryption of important messages and simulations. These numbers are often generated by mathematical algorithms and it is highly important for these generators to generate numbers that are truly random and unpredictable, as patterns, cycles or other discrepancies might at worst cause serious security flaws that can be exploited. READ MORE
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8. Investigating Persistence Layers for Notifications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This work was carried out for Cisco at the Tail-f department. Cisco’s main focus is on network and telecommunication. The Tail-f department is the developer of a network service automatization product that allows customers to automate the process of adding, removing and manage their developed devices and services in their network. READ MORE
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9. Generation of synthetic plant images using deep learning architecture
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Generative Adversarial Networks (Goodfellow et al., 2014) (GANs)are the current state of the art machine learning data generating systems. Designed with two neural networks in the initial architecture proposal, generator and discriminator. READ MORE
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10. Learning to predict text quality using Generative Adversarial Networks
University essay from KTH/Numerisk analys, NAAbstract : Generating summaries of long text articles is a common application in natural language processing. Automatic text summarization models often find themselves generating summaries that don’t resemble the quality of human written text, even though they preserve factual accuracy. READ MORE