Skip to content
This repository has been archived by the owner on Feb 8, 2024. It is now read-only.

Latest commit

 

History

History
20 lines (17 loc) · 3.47 KB

SDP.md

File metadata and controls

20 lines (17 loc) · 3.47 KB

Scientific Document Processing

  • ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych [pdf] [code]
  • A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publications Vijini Liyanage, Davide Buscaldi, Adeline Nazarenko [pdf] [data]
  • SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation Hong Chen, Hiroya Takamura, Hideki Nakayama EMNLP2021-findings [pdf] [data]
  • A Dataset for Discourse Structure in Peer Review Discussions Neha Nayak Kennard, Tim O'Gorman, Akshay Sharma, Chhandak Bagchi, Matthew Clinton, Pranay Kumar Yelugam, Rajarshi Das, Hamed Zamani, Andrew McCallum [pdf]
  • Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu [pdf] [data]
  • COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews Shruti Singh, Mayank Singh, Pawan Goyal [pdf] [code]
  • Explaining Relationships Between Scientific Documents Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith ACL 2021 [pdf]
  • Can We Automate Scientific Reviewing? [pdf] [code] Task: review generation
  • What Have We Learned from OpenReview? [pdf]
  • ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis INLG20 [pdf] [code] Task: review generation
  • A deep neural architecture based meta-review generation and final decision prediction of a scholarly article [pdf] Task: meta-review generation
  • MetaGen: An academic Meta-review Generation system SIGIR20 short [pdf] [data] Task: meta-review generation
  • What Can We Do to Improve Peer Review in NLP? Findings of EMNLP20 [pdf]
  • APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning Findings of EMNLP20 [pdf] [data]
  • Does My Rebuttal Matter? Insights from a Major NLP Conference NAACL19 [pdf] [code] Task: whether a reviewer will increase/decrease/keep her overall score after rebuttal
  • A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications NAACL18 [pdf] [data] Task: result prediction(Acc/Rej), numerical score prediction