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Found 4 papers, 3 papers with code
Prompting Large Language Models for Counterfactual Generation: An Empirical Study
Based on this framework, we 1) investigate the strengths and weaknesses of LLMs as the counterfactual generator, and 2) disclose the factors that affect LLMs when generating counterfactuals, including both the intrinsic properties of LLMs and prompt designing.
Improving Span-based Aspect Sentiment Triplet Extraction with Abundant Syntax Knowledge
Aspect sentiment triplet extraction is a subtask of aspect based sentiment analysis, which has attracted considerable attention in recent years.
Aspect-Based Sentiment Analysis
Aspect Sentiment Triplet Extraction
RFM: response-aware feedback mechanism for background based conversation
In general, the existing dialogue systems tend to generate generic responses due to lack of external knowledge.
Combining dynamic local context focus and dependency cluster attention for aspect-level sentiment classification
The DLCF can dynamically capture the range of local context based on the different max distance from the target aspect term to its context words and the DCA allows the model to pay more attention to the cluster which is more critical for sentiment classification.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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