activity
20182026
most citedMedical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning

80 citations · 353 across the 47 of their papers we have counts for

collaborators
Showing 2020Show all

10 papers · 1 filter

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.CV2020★ 5 cited

Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding

Qingxing Cao, Bailin Li, Xiaodan Liang +2

Though beneficial for encouraging the Visual Question Answering (VQA) models to discover the underlying knowledge by exploiting the input-output correlation beyond image and text c…

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…

cs.CL2020★ 23 cited

Towards Interpretable Natural Language Understanding with Explanations as Latent Variables

Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang +4

Recently generating natural language explanations has shown very promising results in not only offering interpretable explanations but also providing additional information and sup…

cs.CL2020★ 6 cited

GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems

Lishan Huang, Zheng Ye, Jinghui Qin +2

Automatically evaluating dialogue coherence is a challenging but high-demand ability for developing high-quality open-domain dialogue systems. However, current evaluation metrics c…

cs.CL2020★ 3 cited

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation

Wenge Liu, Jianheng Tang, Yi Cheng +3

Developing conversational agents to interact with patients and provide primary clinical advice has attracted increasing attention due to its huge application potential, especially…

cs.CV2020★ 21 cited

Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation

Mingjie Li, Fuyu Wang, Xiaojun Chang +1

Beyond the common difficulties faced in the natural image captioning, medical report generation specifically requires the model to describe a medical image with a fine-grained and…

cs.CV2020★ 3 cited

Vision-Dialog Navigation by Exploring Cross-modal Memory

Yi Zhu, Fengda Zhu, Zhaohuan Zhan +4

Vision-dialog navigation posed as a new holy-grail task in vision-language disciplinary targets at learning an agent endowed with the capability of constant conversation for help w…

cs.CL2020★ 1 cited

Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation

Jinghui Qin, Zheng Ye, Jianheng Tang +1

Target-guided open-domain conversation aims to proactively and naturally guide a dialogue agent or human to achieve specific goals, topics or keywords during open-ended conversatio…

cs.CV2020★ 9 cited

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis

Junfan Lin, Keze Wang, Ziliang Chen +2

Medical diagnosis assistant (MDA) aims to build an interactive diagnostic agent to sequentially inquire about symptoms for discriminating diseases. However, since the dialogue reco…