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20182022
most citedFairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders

51 citations · 104 across the 19 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL20221 cited

Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information

Shijing Si, Jianzong Wang, Ruiyi Zhang +2

Non-negative matrix factorization (NMF) based topic modeling is widely used in natural language processing (NLP) to uncover hidden topics of short text documents. Usually, training…

cs.CL2022

VU-BERT: A Unified framework for Visual Dialog

Tong Ye, Shijing Si, Jianzong Wang +3

The visual dialog task attempts to train an agent to answer multi-turn questions given an image, which requires the deep understanding of interactions between the image and dialog…

cs.CL202151 cited

FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders

Pengyu Cheng, Weituo Hao, Siyang Yuan +2

Pretrained text encoders, such as BERT, have been applied increasingly in various natural language processing (NLP) tasks, and have recently demonstrated significant performance ga…

cs.CL20206 cited

Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage

Shijing Si, Rui Wang, Jedrek Wosik +5

Small and imbalanced datasets commonly seen in healthcare represent a challenge when training classifiers based on deep learning models. So motivated, we propose a novel framework…

cs.CL201937 cited

Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding

Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang +4

Attention-based models have shown significant improvement over traditional algorithms in several NLP tasks. The Transformer, for instance, is an illustrative example that generates…