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20152024
most citedImproving Review Representations with User Attention and Product Attention for Sentiment Classification

39 citations · 307 across the 48 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023

Make BERT-based Chinese Spelling Check Model Enhanced by Layerwise Attention and Gaussian Mixture Model

Yongchang Cao, Liang He, Zhen Wu +1

BERT-based models have shown a remarkable ability in the Chinese Spelling Check (CSC) task recently. However, traditional BERT-based methods still suffer from two limitations. Firs…

cs.CL2023

Dynamic Demonstrations Controller for In-Context Learning

Fei Zhao, Taotian Pang, Zhen Wu +3

In-context learning (ICL) is a new paradigm for natural language processing (NLP), where a large language model (LLM) observes a small number of demonstrations and a test instance…

cs.CV2023

ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora

Kanzhi Cheng, Zheng Ma, Shi Zong +3

Generating visually grounded image captions with specific linguistic styles using unpaired stylistic corpora is a challenging task, especially since we expect stylized captions wit…

cs.CL2023★ 2 cited

Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction

Ting Xu, Huiyun Yang, Zhen Wu +3

Aspect Sentiment Triplet Extraction (ASTE) is widely used in various applications. However, existing ASTE datasets are limited in their ability to represent real-world scenarios, h…

cs.CL2023★ 1 cited

An Empirical Study and Improvement for Speech Emotion Recognition

Zhen Wu, Yizhe Lu, Xinyu Dai

Multimodal speech emotion recognition aims to detect speakers' emotions from audio and text. Prior works mainly focus on exploiting advanced networks to model and fuse different mo…