Papers by Xumeng Liu

2 papers
AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis (2023.findings-acl)

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Challenge: Existing methods to extract aspects from text-image pairs and recognize their sentiments are noisy and coarsely establishing image-aspect alignment will interfere with aspect-relevant semantic and sentiment information.
Approach: They propose an Aspect-oriented method to detect aspect-relevant semantic and sentiment information by selecting textual tokens and image blocks that are semantically related to the aspects.
Outcome: The proposed method is superior to existing methods in the field of sentiment analysis.
Look before You Leap: Dual Logical Verification for Knowledge-based Visual Question Generation (2024.lrec-main)

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Challenge: Existing methods for visual question generation focus on leveraging the semantics of inputs to propose questions, ignoring the logical coherence between generated questions and images.
Approach: They propose a logical verification method that checks logical structure between Q, images, answers and acquired outside knowledge by incorporating logical coherence between Q and Q twice in the whole procedure.
Outcome: The proposed method can generate diverse and insightful knowledge-based visual questions on two common datasets.

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