Where to Submit? Helping Researchers to Choose the Right Venue

Konstantin Kobs, Tobias Koopmann, Albin Zehe, David Fernes, Philipp Krop, Andreas Hotho


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.
Anthology ID:
2020.findings-emnlp.78
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2020
Month:
November
Year:
2020
Address:
Online
Editors:
Trevor Cohn, Yulan He, Yang Liu
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
878–883
Language:
URL:
https://aclanthology.org/2020.findings-emnlp.78
DOI:
10.18653/v1/2020.findings-emnlp.78
Bibkey:
Cite (ACL):
Konstantin Kobs, Tobias Koopmann, Albin Zehe, David Fernes, Philipp Krop, and Andreas Hotho. 2020. Where to Submit? Helping Researchers to Choose the Right Venue. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 878–883, Online. Association for Computational Linguistics.
Cite (Informal):
Where to Submit? Helping Researchers to Choose the Right Venue (Kobs et al., Findings 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.findings-emnlp.78.pdf
Video:
 https://slideslive.com/38940736
Code
 konstantinkobs/wts
Data
Semantic Scholar