@inproceedings{das-zhang-2020-absa,
title = "{ABSA}-Bench: Towards the Unified Evaluation of Aspect-based Sentiment Analysis Research",
author = "Das, Abhishek and
Zhang, Wei Emma",
editor = "Kim, Maria and
Beck, Daniel and
Mistica, Meladel",
booktitle = "Proceedings of the 18th Annual Workshop of the Australasian Language Technology Association",
month = dec,
year = "2020",
address = "Virtual Workshop",
publisher = "Australasian Language Technology Association",
url = "https://aclanthology.org/2020.alta-1.7",
pages = "65--71",
abstract = "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.",
}
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%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
Markdown (Informal)
[ABSA-Bench: Towards the Unified Evaluation of Aspect-based Sentiment Analysis Research](https://aclanthology.org/2020.alta-1.7) (Das & Zhang, ALTA 2020)
ACL