how can i understand this graph in your introduction?

pth1993 / vie-ner-lstm

LSTM model for Vietnamese Named Entity Recognition

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how can i understand this graph in your introduction? #2

Closed trangtv57 closed 2 years ago

trangtv57 commented 6 years ago

I can't understand this graph? so the sequence in fist input layer is "Anh roi EU" with each word will put to word embedding layer then fit to LSTM? or word "Anh" transfer to [Anh, pos_tagging, chunk_tagging, regex_tagging] will put to word embedding layer then fit to LSTM, word "roi" and, word "EU" support to change parameter of model? Can you answer and explain more detail?

cryax commented 6 years ago

I think it's quite straightforward if you take a look at his source code in create_vector_data(utils.py). He extended word embedding by 1-hot pos and chunk data.