Questions regarding the embeddings produced by the `skipgram` and `supervised` options

[facebookresearch]

Questions regarding the embeddings produced by the `skipgram` and `supervised` options

[EdouardGrave]

1. We tried to use character n-grams for supervised classification. Early experiments on the sentiment analysis datasets used in [2] showed little or no improvement.
2. Averaging the vectors from a pre-trained skip-gram model to obtain vectors for larger chunks of text does not work well for classification tasks. This has been observed by multiple authors from the NLP community.
3. We currently do not use character n-grams for supervised and word n-grams for skipgram and cbow. We are working on adding these functionalities.

[rash19]

how does fastText outputs sentence representation by supervised model. I am using supervised model and want the vector representation fro each sentence.

[ddofer]

Same - is there a way to output embeddings learned for a given classification task? (i.e the per word word-vectors)