[Adapt] Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa
朱煜烨
709351575 at sjtu.edu.cn
Wed Jun 9 10:20:15 CST 2021
Hi Adapters,
This week, I introduce you with a NAACL 2021 paper "Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa".
Aspect-Based Sentiment Analysis (ABSA) is a fine-grained task in the field of sentiment analysis, which aims at predicting the polarities for aspects. Generally, ABSA contains Aspect Extraction (AE) and Aspect-Level Sentiment Classification (ALSC). In this paper, both dependency parsing tree and Pre-Trained Models (PTMs) are studied. The authors also compare and analyze the induced trees from PTMs and the dependency trees for the task.
The code can be found here: https://github.com/ROGERDJQ/RoBERTaABSA
Time: Wed 4:00pm
Venue: SEIEE 3-414
Best Regards,
Yuye Zhu
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