Argument Mining Driven Analysis of Peer-Reviews Dataset
Michael Fromm, , Berrendorf, Faerman, , Seidl · arXiv (Cornell University) · 2020
Argument Mining in Scientific Reviews (AMSR) We release a new dataset of peer-reviews from different computer science conferences with annotated arguments, called AMSR (Argument Mining in Scientific Reviews). The dataset has been crawled by the OpenReview platform (https://openreview.net/) and the OpenReviewCrawler (https://openreview-py.readthedocs.io/en/latest/getting data.html) From 12,135 collected papers and reviews, we sample 77 for the annotation. We use a simple argumentation scheme, which distinguishes between non-arguments, supporting arguments, and attacking arguments, which we denote as NON/PRO/CON accordingly.