Published December 10, 2020 | Version 1.0
Dataset Open

Argument Mining Driven Analysis of Peer-Reviews Dataset

  • 1. LMU Munich

Description

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.

Files

AMSR.zip

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