In this repository you find the code for our paper "Where to Submit? Helping Researchers to Choose the Right Venue" published in "Findings of EMNLP 2020".
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.
To run this code, clone this repository and cd into the directory in you terminal.
The easiest way to run the code is to use Docker, so make sure that it is installed on your machine.
To reproduce our results, please go through the following steps:
If you use the preprocessed data or code, please cite the paper:
@inproceedings{kobs-etal-2020-submit,
title = "Where to Submit? Helping Researchers to Choose the Right Venue",
author = "Kobs, Konstantin and
Koopmann, Tobias and
Zehe, Albin and
Fernes, David and
Krop, Philipp and
Hotho, Andreas",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.findings-emnlp.78",
pages = "878--883"
}