Essays about: "datorlingvistik"
Showing result 1 - 5 of 19 essays containing the word datorlingvistik.
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1. A Tale of Two Domains: Automatic Identification of Hate Speech in Cross-Domain Scenarios
University essay from Stockholms universitet/Avdelningen för datorlingvistikAbstract : As our lives become more and more digital, our exposure to certain phenomena increases, one of which is hate speech. Thus, automatic hate speech identification is needed. READ MORE
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2. Generating Conceptual Metaphoric Paraphrases
University essay from Stockholms universitet/Avdelningen för datorlingvistikAbstract : Metaphoric Paraphrase generation is a relatively new and unexplored Natural Language Generation task. The aim of the task is to develop computational systems that paraphrase literal sentences into cogent metaphoric ones. READ MORE
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3. Exploring attribution methods explaining atrial fibrillation predictions from sinus ECGs : Attributions in Scale, Time and Frequency
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Learning models are ubiquitous in machine learning. They offer state-of- the-art performance on tasks ranging from natural language processing to image classification. The drawback of these complex models is their black box nature. It is difficult for the end-user to understand how a model arrives at its prediction from the input. READ MORE
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4. Generative Adversarial Networks and Natural Language Processing for Macroeconomic Forecasting
University essay from KTH/Matematisk statistikAbstract : Macroeconomic forecasting is a classic problem, today most often modeled using time series analysis. Few attempts have been made using machine learning methods, and even fewer incorporating unconventional data, such as that from social media. In this thesis, a Generative Adversarial Network (GAN) is used to predict U.S. READ MORE
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5. Comparison of sequence classification techniques with BERT for named entity recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis takes its starting point from the recent advances in Natural Language Processing being developed upon the Transformer model. One of the significant developments recently was the release of a deep bidirectional encoder called BERT that broke several state of the art results at its release. READ MORE
