What Can Natural Language Processing Do for Peer Review?

1 code implementation • 10 May 2024 • Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych

We hope that our work will help set the agenda for research in machine-assisted scientific quality control in the age of AI, within the NLP community and beyond.

Exploring task-based query expansion at the TREC-COVID track

no code implementations • 23 Oct 2020 • Thomas Schoegje, Chris Kamphuis, Koen Dercksen, Djoerd Hiemstra, Toine Pieters, Arjen de Vries

We explore how to generate effective queries based on search tasks.

REL: An Entity Linker Standing on the Shoulders of Giants

1 code implementation • 2 Jun 2020 • Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen, Krisztian Balog, Arjen P. de Vries

Entity linking is a standard component in modern retrieval system that is often performed by third-party toolkits.

Entity Linking Retrieval

Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification

no code implementations • 16 May 2019 • Koen Dercksen, Wouter Bulten, Geert Litjens

Results show that semi-/unsupervised methods have an advantage over supervised learning when few labels are available.

Clustering General Classification