https://github.com/thunlp/dictskb
Code and data of the paper "Automatic Construction of Sememe Knowledge Bases via Dictionaries"
https://github.com/thunlp/dictskb
dictionaries nlp semantics sememe-knowledge-bases
Last synced: 2 months ago
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Code and data of the paper "Automatic Construction of Sememe Knowledge Bases via Dictionaries"
- Host: GitHub
- URL: https://github.com/thunlp/dictskb
- Owner: thunlp
- License: mit
- Created: 2021-05-22T16:02:14.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-06-06T15:12:54.000Z (over 4 years ago)
- Last Synced: 2025-04-25T11:42:09.600Z (6 months ago)
- Topics: dictionaries, nlp, semantics, sememe-knowledge-bases
- Language: Python
- Homepage:
- Size: 53 MB
- Stars: 4
- Watchers: 9
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# DictSKB
This is the official repository of the code and data of the paper **Automatic Construction of Sememe Knowledge Bases via Dictionaries**, which is published on Findings of ACL: ACL-IJCNLP 2021 [[pdf](https://arxiv.org/pdf/2105.12400)].
## Evaluation Datasets and Tools
- Download [Glove vectors](http://nlp.stanford.edu/data/glove.840B.300d.zip), which is used for NLI, CR and Textual Adversarial Attack experiments.
- Download [Stanford POS Tagger](https://nlp.stanford.edu/software/tagger.shtml#Download), which is used for generating candidate words for Textual Adversarial Attack. However, you can directly use our preprocessed data.
## Running Instructions
Please see the `README.md` files in `ConsistencyCheck/`, `CR/`, `LM_SDLM/` and `NLI/` for specific running instructions for each model on corresponding intrinsic evaluation and downstream tasks.
## Citation
Please kindly cite our paper:
```
@article{qi2021automatic,
title={Automatic Construction of Sememe Knowledge Bases via Dictionaries},
author={Qi, Fanchao and Chen, Yangyi and Wang, Fengyu and Liu, Zhiyuan and Chen, Xiao and Sun, Maosong},
journal={arXiv preprint arXiv:2105.12585},
year={2021}
}
```