Syntactic and semantic features used for NLP
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classification looks at fake vs real news classification based on syntactic and semantic features Naive Bayes, Random Forests, and Deep Neural Network classifiers.
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IR is a proxy problem for information retrieval. Here we look at the quality of determining if a pair of questions are semantically equivalent. We compare the traditional bag-of-words approach to the newer word embeddings approach.