Papers by Yixue Dang

3 papers
Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction (2022.emnlp-main)

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Challenge: Existing work focuses on extracting aspect terms and opinion terms without considering the relations between aspect terms .
Approach: They propose a task to extract aspect terms, opinion terms, and expressed sentiments from a two-dimensional (2D) table.
Outcome: The proposed method achieves state-of-the-art on several public benchmarks and is well-suited to the ASTE task.
Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis (2022.coling-1)

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Challenge: Existing studies in Multimodal Sentiment Analysis lack a mechanism to understand complex relations between different modalities.
Approach: They propose a hierarchical graph contrastive learning framework for multimodal sentiment analysis that explores the relationships between modality representations.
Outcome: The proposed framework outperforms the state-of-the-art in multimodal sentiment analysis on two benchmark datasets.
A Neural Transition-based Model for Argumentation Mining (2021.acl-long)

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Challenge: Existing methods for identifying argumentation structures are inefficient and class imbalanced.
Approach: They propose a neural transition-based model that incrementally builds an argumentation graph by generating a sequence of actions.
Outcome: The proposed model can handle tree and non-tree structured argumentation without structural constraints.

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