In Setting 2, our model outperforms the baseline on all sources except NW and BC, where the F-scores drop insignificantly by 0.1% for both sources.
hence, while unsupervised resolvers have achieved stateof-the-art performance, these weaknesses together suggest that it is very challenging to scale these models up so that they can achieve the next level of performance.