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TwitterNER:Twitter为WNUT 2016命名实体提取http://noisy-text.github.io201...
共136个文件
txt:37个
ipynb:19个
py:16个
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2021-02-06
06:42:18
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推特 Twitter将WNUT 2016的实体提取命名为并在WNUT COLING 2016上发布了相应的研讨会论文,标题为由 安装 pip install -r requirements.txt cd data wget http://nlp.stanford.edu/data/glove.twitter.27B.zip unzip glove.twitter.27B.zip cd .. 用法 $ cd NoisyNLP $ python >>> from run_ner import TwitterNER >>> from twokenize import tokenizeRawTwee
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TwitterNER:Twitter为WNUT 2016命名实体提取http://noisy-text.github.io2016ner-shared-task.html (136个子文件)
cap.1000 6KB
lower.5000 40KB
lastname.5000 35KB
50mpaths2 5.16MB
50mpaths2 5.16MB
firstname.5k 37KB
award.award 102KB
business.brand 28KB
collocs 10KB
collocs 10KB
cvg.computer_videogame 382KB
business.consumer_company 616B
business.consumer_product 123KB
location.country 6KB
cvg.cvg_developer 63KB
cvg.cvg_platform 5KB
people.family_name 45KB
base.events.festival_series 43KB
.gitattributes 82B
.gitignore 1KB
government.government_agency 182KB
wnut_vecs.txt.gz 18.17MB
time.holiday 10KB
Extra Gazetteers.ipynb 580KB
Paper Figures.ipynb 559KB
Word2Vec.ipynb 426KB
Exploratory analysis.ipynb 270KB
Dynet - BiLSTM - Viterbi loss + Char + Word Embeds.ipynb 203KB
Dynet - BiLSTM - Viterbi loss + Char + Word Embeds-Pretrained.ipynb 186KB
CRFSuite.ipynb 178KB
KerasCharRNN.ipynb 170KB
KerasWordRNN.ipynb 169KB
Tensorflow RNN.ipynb 78KB
Run Experiment.ipynb 57KB
Data preprocessing.ipynb 37KB
Test module.ipynb 17KB
Run Experiments.ipynb 16KB
Data Generation - Weka.ipynb 14KB
Updated Gazetteers.ipynb 11KB
Download Wikidata.ipynb 10KB
Dynet tutorials.ipynb 8KB
Gen new clusters.ipynb 4KB
music_artists.txt.json 0B
LICENSE 34KB
location 9.83MB
log 896KB
log 896KB
automotive.make 4KB
map 709KB
map 709KB
README.md 3KB
automotive.model 69KB
architecture.museum 175KB
book.newspaper 67KB
paths 302KB
paths 212KB
paths 212KB
paths 179KB
twitter_ner_wnut_and_hege_model.pkl 25.93MB
twitter_ner_wnut_and_hege_model.pkl 25.93MB
twitter_ner_wnut_and_hege_model.pkl 11.32MB
COLING2016-WNUT-Model-Architechture.png 66KB
product 442KB
features.py 25KB
twokenize.py 13KB
twokenize.py 13KB
conlleval.py 9KB
conlleval.py 9KB
utils.py 8KB
models.py 5KB
run_ner.py 5KB
experiments.py 4KB
test_features.py 2KB
test_utils.py 2KB
download_data.py 1KB
run_experiment.py 1KB
test_experiment.py 711B
__init__.py 0B
__init__.py 0B
time.recurring_event 198KB
transportation.road 349KB
business.sponsor 44KB
sports.sports_league 94KB
sports.sports_team 554KB
english.stop 4KB
hege.test.tsv 153KB
hege.test.tsv 153KB
broadcast.tv_channel 2KB
tv.tv_network 29KB
tv.tv_program 662KB
movies.txt.results.txt 1.78MB
movies.txt.results.txt 1.78MB
buildings.txt.results.txt 1.43MB
buildings.txt.results.txt 1.43MB
companynames.txt.results.txt 1.11MB
companynames.txt.results.txt 1.11MB
music_artists.txt 990KB
music_artists.txt 990KB
music_artists.txt.results.txt 934KB
music_artists.txt.results.txt 934KB
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