Openreview

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data from ICLR OpenReview and code for data analysis

Openreview 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# Openreview [中文](https://mp.weixin.qq.com/s/doBnqcdaP4xEGYY3kDR2eQ)
ICLR open review dataset
## The ICLR Open Reviews dataset 
1.ICLR data is a dataset of scientific peer reviews available to help researchers study this important artifact. The dataset consists of over 10K paper informatiron and the corresponding accept/reject decisions in top-tier venues from ICLR conference, as well as over 40K textual peer reviews written by reviewer for a review of the papers. For details of data introduction and format, please see [./data/README.md](./data/README.md) 
2.This experiment mainly uses three parts of data, including ICLR data, arXiv data and cite data. Other data are extracted or spliced from these data. 
3.Our experiments mainly include data acquisition, data analysis, clustering analysis, correlation analysis, emotional analysis.For details, please see [./code/README.md](./code/README.md) 
## Setup Configuration
```
pip install -r requirements.txt
pip install tensorflow==1.15.0
```
## Acknowledgement
1.We thank the openreview.net, arxiv.org for their commitment to promoting transparency and openness in scientific communication. 
2.We used the ELECTRA pre-training model. https://github.com/google-research/electra 
3.This work was supported by the National Natural Science Foundation of China (62072082, U1811261), and the Key R&D Program of Liaoning Province
(2020JH 2/10100037).

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