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Gestalt: a Stacking Ensemble for SQuAD2.0
We propose a deep-learning system -- for the SQuAD2. 0 task -- that finds, or indicates the lack of, a correct answer to a question in a context paragraph.
Learning Joint Acoustic-Phonetic Word Embeddings
Instead of directly learning the distances between word vectors, we employ weak supervision and model a binary classification task to predict whether two inputs, one of each modality, represent the same word given a distance threshold.
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