MedDialog: Large-scale Medical Dialogue Datasets

1 code implementation • EMNLP 2020 • Guangtao Zeng, Wenmian Yang, Zeqian Ju, Yue Yang, Sicheng Wang, Ruisi Zhang, Meng Zhou, Jiaqi Zeng, Xiangyu Dong, Ruoyu Zhang, Hongchao Fang, Penghui Zhu, Shu Chen, Pengtao Xie

We also study the transferability of models trained on MedDialog to low-resource medical dialogue generation tasks.

Dialogue Generation Transfer Learning

Scale-Semantic Joint Decoupling Network for Image-text Retrieval in Remote Sensing

no code implementations • 12 Dec 2022 • Chengyu Zheng, Ning Song, Ruoyu Zhang, Lei Huang, Zhiqiang Wei, Jie Nie

To address these issues, we propose a novel Scale-Semantic Joint Decoupling Network (SSJDN) for remote sensing image-text retrieval.

Cross-Modal Retrieval Retrieval +1

Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base

1 code implementation • Findings (NAACL) 2022 • Minhao Zhang, Ruoyu Zhang, Yanzeng Li, Lei Zou

Semantic parsing solves knowledge base (KB) question answering (KBQA) by composing a KB query, which generally involves node extraction (NE) and graph composition (GC) to detect and connect related nodes in a query.

Question Answering Relation Extraction +1

NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question Answering

no code implementations • NAACL 2021 • Minhao Zhang, Ruoyu Zhang, Lei Zou, Yinnian Lin, Sen Hu

We present NAMER, an open-domain Chinese knowledge base question answering system based on a novel node-based framework that better grasps the structural mapping between questions and KB queries by aligning the nodes in a query with their corresponding mentions in question.

Data Augmentation Knowledge Base Question Answering

MedDialog: Two Large-scale Medical Dialogue Datasets

1 code implementation • arXiv 2020 • Xuehai He, Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, Pengtao Xie

Medical dialogue systems are promising in assisting in telemedicine to increase access to healthcare services, improve the quality of patient care, and reduce medical costs.