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Convolutional Encoders for Neural Machine Translation

cs224d.stanford.edu

Author: openj-gate.com ~ Tags: cs224d.stanford.edu ~ Date: 2022/06/25

We propose a general Convolutional Neural Network (CNN) encoder model for sentences while neural models use an endtoend model for the translation  - Information from cs224d.stanford.edu

Information accuracy 100%
Read more from cs224d.stanford.edu information was found here: https://cs224d.stanford.edu/reports/LambAndrew.pdf

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Wikification: Entity annotation with Wikipedia CS224d

cs224d.stanford.edu

Author: openj-gate.com ~ Tags: cs224d.stanford.edu ~ Date: 2022/06/25

document with wiki links At first we implemented baseline model with LESK algorithm/Bayesian model Then we applied Siamese neural network in this model  - Information from cs224d.stanford.edu

Information accuracy 100%
Read more from cs224d.stanford.edu information was found here: https://cs224d.stanford.edu/reports/Tang.pdf

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EndtoEnd Deep Neural Network for Automatic Speech

cs224d.stanford.edu

Author: openj-gate.com ~ Tags: cs224d.stanford.edu ~ Date: 2022/06/25

deep convolutional neural network (CNN) for phoneme recognition and a hidden Markov model (HMM) for word decoding Specifically we implemented a GPUbased  - Information from cs224d.stanford.edu

Information accuracy 100%
Read more from cs224d.stanford.edu information was found here: https://cs224d.stanford.edu/reports/SongWilliam.pdf

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Wikification: Entity annotation with Wikipedia CS224d

cs224d.stanford.edu

Author: openj-gate.com ~ Tags: cs224d.stanford.edu ~ Date: 2022/06/25

In this project we built an endtoend system to annotate document with wiki links At first we implemented baseline model with LESK algorithm/Bayesian model - Information from cs224d.stanford.edu

Information accuracy 100%
Read more from cs224d.stanford.edu information was found here: https://cs224d.stanford.edu/reports/Tang.pdf

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