%0 Conference Proceedings %T ABSA-Bench: Towards the Unified Evaluation of Aspect-based Sentiment Analysis Research %A Das, Abhishek %A Zhang, Wei Emma %Y Kim, Maria %Y Beck, Daniel %Y Mistica, Meladel %S Proceedings of the 18th Annual Workshop of the Australasian Language Technology Association %D 2020 %8 December %I Australasian Language Technology Association %C Virtual Workshop %F das-zhang-2020-absa %X Aspect-Based Sentiment Analysis (ABSA)has gained much attention in recent years. It is the task of identifying fine-grained opinionpolarity towards a specific aspect associated with a given target. However, there is a lack of benchmarking platform to provide a unified environment under consistent evaluation criteria for ABSA, resulting in the difficulties for fair comparisons. In this work, we address this issue and define a benchmark, ABSA-Bench, by unifying the evaluation protocols and the pre-processed publicly available datasets in a Web-based platform. ABSA-Bench provides two means of evaluations for participants to submit their predictions or models for online evaluation. Performances are ranked in the leader board and a discussion forum is supported to serve as a collaborative platform for academics and researchers to discuss queries. %U https://aclanthology.org/2020.alta-1.7 %P 65-71