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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.
Peer Review, Argument Mining
Peer Review, Argument Mining
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 56 | |
| downloads | 9 |

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