activity
20152022
most citedImproving Review Representations with User Attention and Product Attention for Sentiment Classification

39 citations · 171 across the 27 of their papers we have counts for

collaborators

36 papers

cs.CL2022

Structure-Unified M-Tree Coding Solver for MathWord Problem

Bin Wang, Jiangzhou Ju, Yang Fan +3

As one of the challenging NLP tasks, designing math word problem (MWP) solvers has attracted increasing research attention for the past few years. In previous work, models designed…

cs.CL2022

Probing Cross-modal Semantics Alignment Capability from the Textual Perspective

Zheng Ma, Shi Zong, Mianzhi Pan +4

In recent years, vision and language pre-training (VLP) models have advanced the state-of-the-art results in a variety of cross-modal downstream tasks. Aligning cross-modal semanti…

cs.CL20221 cited

Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection

Fei Zhao, Yuchen Shen, Zhen Wu +1

Multi-Label Few-Shot Aspect Category Detection (FS-ACD) is a new sub-task of aspect-based sentiment analysis, which aims to detect aspect categories accurately with limited trainin…

cs.CL2022

Analyzing the Intensity of Complaints on Social Media

Ming Fang, Shi Zong, Jing Li +3

Complaining is a speech act that expresses a negative inconsistency between reality and human expectations. While prior studies mostly focus on identifying the existence or the typ…

cs.CL20221 cited

-GLAT: Glancing at Latent Variables for Parallel Text Generation

Yu Bao, Hao Zhou, Shujian Huang +5

Recently, parallel text generation has received widespread attention due to its success in generation efficiency. Although many advanced techniques are proposed to improve its gene…

cs.IR202227 cited

Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search

Zhifang Fan, Dan Ou, Yulong Gu +7

Modeling user's historical feedback is essential for Click-Through Rate Prediction in personalized search and recommendation. Existing methods usually only model users' positive fe…