Generating replies on the fly: Smart Reply can be built using sequence to sequence modeling. An incoming mail acts as the input to the model and the reply will be the output of the model. Encoder-Decoder architecture is also often used for sequence to sequence task such as smart reply Picking one of the pre-existing templates:…
Most frequent words are usually stop words like [“in”,”that”,”so”,”what”,”are”,”this”,”the”,”that”,”a”,”is” …etc] Rare words could be because of spelling mistakes or due to the word being sparsely used in the data set. Usually both the most frequent and most rare words are not useful in providing contextual information. Very frequent words are called stop words. As stop-words…
When all words are not converted to a single case, the vocabulary size will increase drastically as words like Up/up or Fast/fast or This/this will be treated differently which isn’t a correct behaviour for the NLP task. Sparsity is higher when building the language model since the cat is treated differently from The cat. Suppose…