Questions tagged [fasttext]

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When are subword ngrams trained in fasttext? (Enriching Word Vectors with Subword Information)

when is the training for subword ngrams done? is it done simultaneously as when the word representation are trained? or is it done at the end, after word representations are created? fasttext ...
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25 views

How to interpret feature importance in text classification using Fasttext?

Once the text is converted into a vector of size(1,100), how can we interpret and backtrace a word's importance which helped in classification?
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1answer
40 views

Pre-trained models for finding similar word n-grams

Are there any pre-trained models for finding similar word n-grams, where n>1? FastText, for instance, seems to work only on unigrams: ...
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16 views

Initializing weights that are a pointwise product of multiple variables

In two-layer perceptrons that slide across words of text, such as word2vec and fastText, hidden layer heights may be a product of two random variables such as positional embeddings and word embeddings ...
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37 views

Keep word2vexc/fasttext model loaded in memory without using API

I have to use Fasttext model to return word embeddings. In test I was calling it through API. Since there are too many words to compute embeddings, API call seems to be expensive. I would like to use ...
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156 views

Explain FastText model using SHAP values

I have trained fastText model and some fully connected network build on its embeddings. I figured out how to use Lime on it: complete example can be found in Natural Language Processing Is Fun Part 3: ...
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99 views

Extracting vectors of FastText own model to use it on a NN

I have trained my own model of fasttext using the pretrained model of English available on their website with the next code: ...
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1answer
126 views

FastText Model Explained

I was reading the FastText paper and I have a few questions about the model used for classification. Since I am not from NLP background, some I am unfamiliar with the jargon. In the figure, what ...
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57 views

Removing duplicate records before training

I am currently working on a project classifying text into classes. The specific problem is classifying job titles into various industry codes. For example "McDonalds Employee" might get classified to ...