ner-lstm, 基于多层双向LSTM的命名实体识别.zip
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2019-09-17
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ner-lstm.zip （63个子文件） 
ner-lstm-master 
.gitignore 58B README.md 6KB sample.py 1KB thirdparty GloVe-1.2 eval matlab evaluate_vectors.m 3KB WordLookup.m 204B read_and_evaluate.m 812B question-data 
._gram6-nationality-adjective.txt 212B gram6-nationality-adjective.txt 51KB gram5-present-participle.txt 31KB ._gram3-comparative.txt 212B ._gram5-present-participle.txt 212B capital-world.txt 139KB gram3-comparative.txt 33KB ._capital-common-countries.txt 212B ._gram7-past-tense.txt 212B ._gram4-superlative.txt 212B currency.txt 22KB capital-common-countries.txt 14KB ._gram9-plural-verbs.txt 212B ._city-in-state.txt 212B ._family.txt 212B gram2-opposite.txt 33KB city-in-state.txt 84KB ._capital-world.txt 212B gram9-plural-verbs.txt 24KB ._gram2-opposite.txt 212B ._gram8-plural.txt 212B ._gram1-adjective-to-adverb.txt 212B gram8-plural.txt 34KB gram4-superlative.txt 30KB ._currency.txt 212B family.txt 15KB gram7-past-tense.txt 47KB gram1-adjective-to-adverb.txt 34KB python evaluate.py 4KB octave WordLookup_octave.m 214B read_and_evaluate_octave.m 833B evaluate_vectors_octave.m 3KB LICENSE 11KB demo.sh 1KB src shuffle.c 8KB glove.c 17KB vocab_count.c 7KB cooccur.c 19KB README 2KB Makefile 664B embeddings get_icon_embeddings.py 5KB wordvec_model.py 2KB get_conll_embeddings.py 4KB random_vec.py 483B glove_model.py 2KB rnnvec_model.py 5KB model.py 7KB data hin.test_a_70 622B hindi_ssf_corpus.txt 682B resize_input.py 1KB eng.test_b_50 755B hin.test_b_70 645B eng.train_50 824B eng.test_a_50 792B hindi_util.py 2KB hin.train_70 635B input.py 663B资源评论
