Where to Submit? Helping Researchers to Choose the Right Venue
Konstantin Kobs, Tobias Koopmann, Albin Zehe, David Fernes, Philipp Krop, Andreas Hotho
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/konstantinkobs/wtsOfficialIn paperpytorch★ 3
Abstract
Whenever researchers write a paper, the same question occurs: ``Where to submit?'' In this work, we introduce WTS, an open and interpretable NLP system that recommends conferences and journals to researchers based on the title, abstract, and/or keywords of a given paper. We adapt the TextCNN architecture and automatically analyze its predictions using the Integrated Gradients method to highlight words and phrases that led to the recommendation of a scientific venue. We train and test our method on publications from the fields of artificial intelligence (AI) and medicine, both derived from the Semantic Scholar dataset. WTS achieves an Accuracy@5 of approximately 83\% for AI papers and 95\% in the field of medicine. It is open source and available for testing on https://wheretosubmit.ml.