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20172024
most citedA Survey on Retrieval-Augmented Text Generation

71 citations · 267 across the 20 of their papers we have counts for

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Showing 2021 · cs.CLShow all

5 papers · 2 filters

cs.CL2021★ 4 cited

Exploring Dense Retrieval for Dialogue Response Selection

Tian Lan, Deng Cai, Yan Wang +3

Recent progress in deep learning has continuously improved the accuracy of dialogue response selection. In particular, sophisticated neural network architectures are leveraged to c…

cs.CL2021

Transductive Learning for Unsupervised Text Style Transfer

Fei Xiao, Liang Pang, Yanyan Lan +3

Unsupervised style transfer models are mainly based on an inductive learning approach, which represents the style as embeddings, decoder parameters, or discriminator parameters and…

cs.CL2021

Stylistic Retrieval-based Dialogue System with Unparallel Training Data

Hao Fu, Yan Wang, Ruihua Song +2

The ability of a dialog system to express consistent language style during conversations has a direct, positive impact on its usability and on user satisfaction. Although previous…

cs.CL2021★ 9 cited

ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding

Lingyun Feng, Jianwei Yu, Deng Cai +3

Language understanding in speech-based systems have attracted much attention in recent years with the growing demand for voice interface applications. However, the robustness of na…

cs.CL2021★ 16 cited

Neural Machine Translation with Monolingual Translation Memory

Deng Cai, Yan Wang, Huayang Li +2

Prior work has proved that Translation memory (TM) can boost the performance of Neural Machine Translation (NMT). In contrast to existing work that uses bilingual corpus as TM and…