Aspect-based Sentiment Analysis of Scientific Reviews
Table 1. Number of papers in the ICLR dataset from 2017 to 2019. Note that some of the papers may have been withdrawn and we have removed those entries from the calculations hereafter.
['[EMPTY]', 'Oral', 'Poster', 'Workshop', 'Rejected (All tracks)']
ICLR reviews are completely public and all parts of the reviews are readily accessible online. All the comments and author rebuttals are also available. Final score of recommendation is available in a scale of 1-10 for each of the individual reviews. We mined a total of 5,289 ICLR papers (main conference + workshops); however before 2017 this data is very noisy and incomplete. In fact, prior to 2017, the volume of the data is very less and the quality of the data is also poor as the author rebuttals cannot be separated from the reviews automatically owing to the design of the openreview website. Therefore we use the data for the years 2017, 2018 and 2019 only which makes a total of 3,343 papers.