Methods to Calculate Sentence Smilarity

Calculating the similarity between sentences is not an easy task. To tackle this task, we first need to give each sentence a representation

S-NET: Extract and Generate

The S-Net [1] based on the R-Net [2] tries to tackle the open-domain QA problem just like the Reading Wikipedia to Answer Open-Domain Questi

The Deep Neural Decision Forests(dNDF) attempts to combine the Neural Network and the Random Forests.

Using dynamic vocabularies rather than the whole vocabularies(the size can be up to 50k) significantly reduces the costs during decoding. Al

For almost the past two months I have been working on an object detection project. There is a lot to digest before I can really put my hand

The inconsistency between training phrase and predicting phrase in RNN is a long recognized problem. During training the strategy is teacher

Wu et al.[1] managed to apply Generative Adversarial Networks(GAN) on NMT, despite the difficulty of progagating information from the discri

Yingce Xia et al. explored a series of applications of Dual Learning [1,2,3] on various tasks namely

Interested in the work [1], I decided to conduct an empirical comparison between SRU and LSTM on the NMT task.

I just had enough of creating numerous ssh connections to manipulate on a server. After searching on Internet,