HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction

torch==1.6.0

nltk==3.6.2

numpy==1.19.5

scikit-learn==0.24.2

scipy==1.5.4

sentencepiece==0.1.95

transformers==3.0.2

tokenizers==0.8.1rc1

gdown==4.2.0

download_nyt10.sh

download_nyt10m.sh

download_wiki20m.sh

train_nyt10d.sh

train_nyt10m.sh

train_wiki20m.sh

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
benchmark		benchmark
bert_pretrained		bert_pretrained
encoder		encoder
framework		framework
model		model
.gitignore		.gitignore
HFMRE_model.png		HFMRE_model.png
README.md		README.md
infer_nyt10d.sh		infer_nyt10d.sh
infer_nyt10m.sh		infer_nyt10m.sh
infer_wiki20m.sh		infer_wiki20m.sh
main.py		main.py
prec.npy		prec.npy
rec.npy		rec.npy
requirements.txt		requirements.txt
test.py		test.py
train_nyt10d.sh		train_nyt10d.sh
train_nyt10m.sh		train_nyt10m.sh
train_wiki20m.sh		train_wiki20m.sh

shaocong-qy/HFMRE