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HCRP

Code of paper Exploring Task Difficulty for Few-Shot Relation Extraction. https://arxiv.org/abs/2109.05473

Install / Use

/learn @hanjiale/HCRP
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

HCRP

This is the implementation of our paper Exploring Task Difficulty for Few-Shot Relation Extraction.

Requirements

  • python 3.6
  • PyTorch 1.7.0
  • transformers 4.0.0
  • numpy 1.19

Datasets

We experiment our model on two few-shot relation extraction datasets,

  1. FewRel 1.0
  2. FewRel 2.0

Please download data from the official links and put it under the ./data/.

Evaluation

Please download trained model from here and put it under the ./checkpoint/. To evaluate our model, use command

FewRel 1.0

python train.py \
    --N 10 --K 1 --Q 1 --test_iter 10000\
    --only_test True --load_ckpt "checkpoint/hcrp.pth.tar"

FewRel 2.0

python train.py \
    --N 10 --K 1 --Q 1 --test_iter 10000\
    --val val_pubmed --test val_pubmed --ispubmed True\
    --only_test True --load_ckpt "checkpoint/hcrp-da.pth.tar"

Training

FewRel 1.0

To run our model, use command

python train.py

This will start the training and evaluating process of HCRP in a 10-way-1-shot setting. You can also use different args to start different process. Some of them are here:

  • train / val / test: Specify the training / validation / test set.
  • trainN: N in N-way K-shot. trainN is the specific N in training process.
  • N: N in N-way K-shot.
  • K: K in N-way K-shot.
  • Q: Sample Q query instances for each relation.

There are also many args for training (like batch_size and lr) and you can find more details in our codes.

FewRel 2.0

Use command

python train.py \
    --val val_pubmed --test val_pubmed --ispubmed True --lamda 2.5

Results

FewRel 1.0

| | 5-way-1-shot | 5-way-5-shot | 10-way-1-shot | 10-way-5-shot | | --------------- | ----------- | ------------- | ------------ | ------------- | | Val | 90.90 | 93.22 | 84.11 | 87.79 | | Test | 93.76 | 95.66 | 89.95 | 92.10 |

FewRel 2.0

| | 5-way-1-shot | 5-way-5-shot | 10-way-1-shot | 10-way-5-shot | | --------------- | ----------- | ------------- | ------------ | ------------- | | Val | 78.90 | 83.22 | 68.99 | 74.45 | | Test | 76.34 | 83.03 | 63.77 | 72.94 |

Cite

If you use the code, please cite the following paper: "Exploring Task Difficulty for Few-Shot Relation Extraction" Jiale Han, Bo Cheng and Wei Lu. EMNLP (2021)

@inproceedings{han2021exploring,
    title = {Exploring Task Difficulty for Few-Shot Relation Extraction},
    author = {Han, Jiale and Cheng, Bo and Lu, Wei},
    booktitle = {Proc. of EMNLP},
    year={2021}
}

Related Skills

View on GitHub
GitHub Stars35
CategoryEducation
Updated1y ago
Forks5

Languages

Python

Security Score

65/100

Audited on Jan 4, 2025

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