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1
Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews ...
Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.461 Abstract: As more and more product reviews are posted in both text and images, Multimodal Review Analysis (MRA) becomes an attractive research topic. Among the existing review analysis tasks, helpfulness prediction on review text has become predominant due to its importance for e-commerce platforms and online shops, i.e. helping customers quickly acquire useful product information. This paper proposes a new task Multimodal Review Helpfulness Prediction (MRHP) aiming to analyze the review helpfulness from text and visual modalities. Meanwhile, a novel Multi-perspective Coherent Reasoning method (MCR) is proposed to solve the MRHP task, which conducts joint reasoning over texts and images from both the product and the review, and aggregates the signals to predict the review helpfulness. Concretely, we first propose a product-review coherent reasoning module to measure the intra- and inter-modal coherence between the target product and the review. In ...
Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics
URL: https://underline.io/lecture/25902-multi-perspective-coherent-reasoning-for-helpfulness-prediction-of-multimodal-reviews
https://dx.doi.org/10.48448/q9hf-r138
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2
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation ...
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3
Towards Generative Aspect-Based Sentiment Analysis ...
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4
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding ...
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5
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction ...
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6
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER ...
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