paths.py

yangjie_rich_pretrain_unigram_path = '../skt.char.vec' #Path to character embeddings
yangjie_rich_pretrain_bigram_path = '../skt.bigram.vec' #Path to bigram embeddings
yangjie_rich_pretrain_word_path = '../skt.word.vec' #Path to word embeddings
yangjie_rich_pretrain_char_and_word_path = '../skt_word_char_mix.txt' #Path to file with character and word embeddings
model_save_path = 'saved_models' #Path where trined model is to be saved
load_model_path = 'saved_models/best_model' #Path from where trained model is to be loaded for testing
#lk_word_path = '/data/nrao/nlp/sgns.merge.word'
#lk_word_path_2 = '/data/nrao/nlp/sgns.merge.word_2'

#ontonote4ner_cn_path =
#msra_ner_cn_path = '/data/nrao/nlp/MSRANER'
#resume_ner_path = '/data/nrao/nlp/ResumeNER'
weibo_ner_path = '../sktWS' #Path to sktWS folder