Essays about: "word embeddings"
Showing result 16 - 20 of 86 essays containing the words word embeddings.
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16. Cluster selection for Clustered Federated Learning using Min-wise Independent Permutations and Word Embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Federated learning is a widely established modern machine learning methodology where training is done directly on the client device with local client data and the local training results are shared to compute a global model. Federated learning emerged as a result of data ownership and the privacy concerns of traditional machine learning methodologies where data is collected and trained at a central location. READ MORE
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17. WANNA BE ON TOP? The Hyperparameter Search for Semantic Change's Next Top Model
University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : Lexical semantic change (LSC) detection through the use of diachronic corpora and computational methods continues to be a prevalent research area in language change (Tahmasebi et al., 2018). READ MORE
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18. Discovering Implant Terms in Medical Records
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Implant terms are terms like "pacemaker" which indicate the presence of artifacts in the body of a human. These implant terms are key to determining if a patient can safely undergo Magnetic Resonance Imaging (MRI). READ MORE
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19. Investigating Gender Bias in Word Embeddings for Chinese
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Gender bias, a sociological issue, has attracted the attention of scholars working on natural language processing (NLP) in recent years. It is confirmed that some NLP techniques like word embedding could capture gender bias in natural language. Here, we investigate gender bias in Chinese word embeddings. READ MORE
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20. Evaluation of Sentence Representations in Semantic Text Similarity Tasks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis explores the methods of representing sentence representations for semantic text similarity using word embeddings and benchmarks them against sentence based evaluation test sets. Two methods were used to evaluate the representations: STS Benchmark and STS Benchmark converted to a binary similarity task. READ MORE