DeepASPeer

Author:

Kumar Sandeep1,Arora Hardik1,Ghosal Tirthankar2,Ekbal Asif1

Affiliation:

1. Indian Institute of Technology Patna, Patna, Bihar, India

2. Charles University, Prague, Czech Republic

Publisher

ACM

Reference30 articles.

1. Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised

2. Reliability of reviewers' ratings when using public peer review: a case study

3. A Sentiment Augmented Deep Architecture to Predict Peer Review Outcomes

4. Investigating Impact Features in Editorial Pre-Screening of Research Papers

5. Jiuxiang Gu , Zhenhua Wang , Jason Kuen , Lianyang Ma , Amir Shahroudy , Bing Shuai , Ting Liu , Xingxing Wang , and Gang Wang . 2015. Recent Advances in Convolutional Neural Networks. CoRR abs/1512.07108 ( 2015 ). arXiv:1512.07108 http://arxiv.org/abs/1512.07108 Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, and Gang Wang. 2015. Recent Advances in Convolutional Neural Networks. CoRR abs/1512.07108 (2015). arXiv:1512.07108 http://arxiv.org/abs/1512.07108

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews;Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region;2023-11-26

2. Technology assisted research assessment: algorithmic bias and transparency issues;Aslib Journal of Information Management;2023-10-02

3. PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review;International Journal on Digital Libraries;2023-07-04

4. Deep learning for predicting patent application outcome: The fusion of text and network embeddings;Journal of Informetrics;2023-05

5. BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments;Linking Theory and Practice of Digital Libraries;2022

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