Papers by Zhonglei Guo

2 papers
Adaptive Structure Induction for Aspect-based Sentiment Analysis with Spectral Perspective (2023.findings-emnlp)

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Challenge: incorporating structure information can enhance the performance of aspect-based sentiment analysis.
Approach: They propose to use pre-trained language models to induct latent structures from a spectrum perspective.
Outcome: The proposed model shortens Aspects-sentiment Distance and improves structure induction ability.
Linking Adaptive Structure Induction and Neuron Filtering: A Spectral Perspective for Aspect-based Sentiment Analysis (2024.lrec-main)

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Challenge: incorporating structure information can improve the performance of aspect-based sentiment analysis.
Approach: They propose a method to conduct neuron-level manipulations on word representations in the frequency domain.
Outcome: The proposed method can achieve or come close to state-of-the-art in ABSA.

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