Papers by Shuwen Qiu

2 papers
GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning (2021.findings-acl)

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Challenge: a grammar-based dialogue dataset, GRICE, is designed to bring implicature into pragmatic reasoning in conversations . implicature recovery is a key component of open-ended dialogue reasoning .
Approach: They propose a grammar-based dialogue dataset to bring implicature into pragmatic reasoning . they use a hierarchical grammar model to generate the entire dataset .
Outcome: The proposed model shows a significant performance gap between baseline methods and human models . the model shows an overall performance boost in conversational reasoning .
Topic and Style-aware Transformer for Multimodal Emotion Recognition (2023.findings-acl)

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Challenge: Existing studies show that visual modality makes minimal contribution to multimodal emotion recognition due to its high dimensionality.
Approach: They propose to leverage the strong multimodality backbone VATT to project the visual signal to the common space with language and acoustic signals.
Outcome: The proposed model outperforms SOTA results and integrates visual signals and handles subjectivity issues by serving as content "normalization" previous studies show that visual modality makes minimal contribution to the performance of multimodal emotion recognition tasks due to high dimensionality.

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