Shaopeng Tang — accepted AI-conference papers

2025

MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction

Shaopeng Tang, Lin Li, Xiaohui Tao, Leqi Zhong, Qing Xie

NAACL 2025long

As an important fine-grained sentiment analysis task, aspect sentiment triplet extraction (ASTE) aims to identify three elements, i.e., aspect, opinion and sentiment polarity as a triplet. Advanced ASTE researches have mostly explored triplet-wise ability to achieve superior improvement. However, ex…

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2024

Majority Rules Guided Aspect-Category Based Sentiment Analysis via Label Prior Knowledge

Lin Li, Shaopeng Tang, Renwei Wu

COLING 2024main

As an important fine-grained task of sentiment analysis, Aspect-Category based Sentiment Analysis (ACSA) aims to identify the sentiment polarities of pre-defined categories in text. However, due to subjectivity, the highly semantically similar text has polysemous sentiments to different people, lead…

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