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Bidirectional LSTM-CRF for Clinical Concept Extraction using i2b2-2010 data
Hello!
Thanks for your codes and instructions!
I'm trying to follow your work on i2b2-2010 task.
But I can't seem to find the corpus you used to pretrain word embeddings with Word2Vec and GloVe from your paper. "Bidirectional LSTM-CRF for Clinical Concept Extraction" at Clinical Natural Language Processing Workshop at COLING 2016 Osaka, Japan. December 11, 2016
Could you kindly provide it?
Thanks.
Hi
I employed the blstm-crf model for Chinese named entity recognition,it worked but results was no better than the one without crf, and I got real_path_score larger than all_path score,is that possible?
The current readme suggests using models/english/ which is the pretrained model on general English from Lample et al. 2016. Can you add the model used to obtain the results reported in the paper?
Please give step by step instructions for how to run in windows 7 operating system?
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