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Tagged with n-gram natural-language-processing
3 questions
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Bag of Tricks: n-grams as additional features?
I've been playing with PyTorch's nn.EmbeddingBag for sentence classification for about a month. I've been doing some feature engineering, playing with different ...
- 143
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If the unigram precision is (N-1)/N, then the bigram precision is :
Consider the following machine translation scenario. The reference translation has N words (do not consider sentence beginner ‘hat’ and sentence finisher ‘dot’). The machine output also has N words. ...
- 101
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Why would adding all the possible embeddings be "worse" than using 1D-convolutions?
Suppose we are using word2vec and have embeddings of individual words $w_1, \dots, w_{10}$. Let's say we wanted to analyze $2$ grams or $3$ grams.
Why would adding all the possible embeddings, $\binom{...
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