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20152022
most citedClothing Co-Parsing by Joint Image Segmentation and Labeling

154 citations · 1.2k across the 77 of their papers we have counts for

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10 papers · 1 filter

cs.CL2021

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition

Guolin Zheng, Yubei Xiao, Ke Gong +3

Unifying acoustic and linguistic representation learning has become increasingly crucial to transfer the knowledge learned on the abundance of high-resource language data for low-r…

cs.CL2021

Towards Quantifiable Dialogue Coherence Evaluation

Zheng Ye, Liucun Lu, Lishan Huang +2

Automatic dialogue coherence evaluation has attracted increasing attention and is crucial for developing promising dialogue systems. However, existing metrics have two major limita…

cs.CL2021

GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer

Yukai Shi, Sen Zhang, Chenxing Zhou +3

Non-parallel text style transfer has attracted increasing research interests in recent years. Despite successes in transferring the style based on the encoder-decoder framework, cu…

cs.CL2021

Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition

Fuyu Wang, Xiaodan Liang, Lin Xu +1

Beyond generating long and topic-coherent paragraphs in traditional captioning tasks, the medical image report composition task poses more task-oriented challenges by requiring bot…

cs.CL2020★ 8 cited

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation

Shuai Lin, Pan Zhou, Xiaodan Liang +4

Human doctors with well-structured medical knowledge can diagnose a disease merely via a few conversations with patients about symptoms. In contrast, existing knowledge-grounded di…

cs.CL2020

REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement

Yinya Huang, Meng Fang, Xunlin Zhan +3

When answering a question, people often draw upon their rich world knowledge in addition to the particular context. While recent works retrieve supporting facts/evidence from commo…