[Adapt] Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa

[Kenny Zhu]

Hi Guys,

Today's the last seminar of the semester and as a tradition, we will take a
group photo together. Please try to attend!

Kenny

-----Original Message-----
From: adapt-bounces at cs.sjtu.edu.cn [mailto:adapt-bounces at cs.sjtu.edu.cn] On
Behalf Of 朱煜烨
Sent: 2021年6月9日 10:20
To: adapt <adapt at cs.sjtu.edu.cn>
Subject: [Adapt] Does syntax matter? A strong baseline for Aspect-based
Sentiment Analysis with RoBERTa

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
_______________________________________________
Adapt mailing list
Adapt at cs.sjtu.edu.cn
http://cs.sjtu.edu.cn/mailman/listinfo/adapt