glample / tagger

Named Entity Recognition Tool

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Pretrained word embedding

HAWLYQ opened this issue · comments

@glample Hi, in your paper, it was mentioned that you observed significant improvements using pretrained word embeddings. Could you share your pretrained English word embedding with me?

Hi,

Yes, you can find them here: #44

Hi.
I've tested your embeddings and were great. Could you share pretarained italian and french word embeddings?

Hi,

I never trained embeddings on these languages, but you can have a look at the fastText embeddings, they should work very well for NER: https://fasttext.cc/docs/en/crawl-vectors.html

@glample
I recently used your embeddings.
your skip-n-gram embeddings given here are better than fasttext common-crawl vectors except the vectors for dutch.
in case of fasttext, dutch pretrained embeddings gives around 85.75f1 score where skip-n-gram gives around 81.**