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

39 citations · 181 across the 26 of their papers we have counts for

collaborators

34 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.CL20214 cited

Adaptive Nearest Neighbor Machine Translation

Xin Zheng, Zhirui Zhang, Junliang Guo +4

kNN-MT, recently proposed by Khandelwal et al. (2020a), successfully combines pre-trained neural machine translation (NMT) model with token-level k-nearest-neighbor (kNN) retrieval…

cs.CL20212 cited

DirectQE: Direct Pretraining for Machine Translation Quality Estimation

Qu Cui, Shujian Huang, Jiahuan Li +4

Machine Translation Quality Estimation (QE) is a task of predicting the quality of machine translations without relying on any reference. Recently, the predictor-estimator framewor…

cs.CL20214 cited

Non-Autoregressive Translation by Learning Target Categorical Codes

Yu Bao, Shujian Huang, Tong Xiao +3

Non-autoregressive Transformer is a promising text generation model. However, current non-autoregressive models still fall behind their autoregressive counterparts in translation q…

cs.CL20202 cited

A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction

Yanyang Li, Yingfeng Luo, Ye Lin +5

Unsupervised Bilingual Dictionary Induction methods based on the initialization and the self-learning have achieved great success in similar language pairs, e.g., English-Spanish.…