Read more from cs224d.stanford.edu

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

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

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

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