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Showing 1 to 3 of 3 for “"fastText"”.
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Neural geolocation prediction in Twitter
… that Convolutional Neural Networks (CNNs) and fastText best encode the the textual and geoloca- tional properties of tweets respectively. fastText emerges as the best model for low resource settings, providing very little degradation with reduction in embedding size.
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Software Requirements Classification Using Word Embeddings and Convolutional Neural Networks
… and word embedding models such as word2vec and fastText, we build a Python system that trains and validates configurations of Naïve Bayes and CNN requirements classifiers. Applying our system to a suite of experiments on two well-studied requirements datasets, we recreate or establish the Naïve …
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Towards new material discovery from CdTe solar cell literature with machine learning
… The Language models include word2vec, GloVe, fastText and BERT, which are trained on a dataset of more than 22,500 paper abstracts. The performance of these language models is evaluated using a custom test dataset. The test dataset consists of 62-word pairs, which are conceptually related in …