𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡丨Context Denoising for Aspect-based Sentiment Analysis

AI Researcher & Co-author

𝐌𝐨𝐭𝐢𝐯𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞: Irrelevant context can mislead aspect-level sentiment predictions. We introduced diffusion-based denoising to remove lexical, bag-of-words and syntactic noise while preserving useful context.

𝐑𝐞𝐬𝐮𝐥𝐭𝐬 & 𝐕𝐞𝐧𝐮𝐞𝐬: Improved sentiment analysis across five benchmark datasets. Published in Findings of NAACL 2024.

𝐋𝐢𝐧𝐤：https://aclanthology.org/2024.findings-naacl.194.pdf