Information extraction and human-robot dialogue towards real-life tasks: A baseline study with the mobilecs dataset

H Liu, H Peng, Z Ou, J Li, Y Huang, J Feng - arXiv preprint arXiv …, 2022 - arxiv.org
Recently, there have merged a class of task-oriented dialogue (TOD) datasets collected
through Wizard-of-Oz simulated games. However, the Wizard-of-Oz data are in fact …

COSSUM: Towards Conversation-Oriented Structured Summarization for Automatic Medical Insurance Assessment

S Xu, X Wan, S Hu, M Zhou, T Xu, H Wang… - Proceedings of the 28th …, 2022 - dl.acm.org
In medical insurance industry, a lot of human labor is required to collect information of
claimants. Human assessors need to converse with claimants in order to record key …

A speaker-aware co-attention framework for medical dialogue information extraction

Y Xia, Z Shi, J Zhou, J Xu, C Lu, Y Yang… - Proceedings of the …, 2022 - aclanthology.org
With the development of medical digitization, the extraction and structuring of Electronic
Medical Records (EMRs) have become challenging but fundamental tasks. How to …

Towards Better Core Elements Extraction for Customer Service Dialogue Text

S Ji, C Chen, F Kong - International Conference on Artificial Neural …, 2023 - Springer
Customer service conversations are usually short, but contain rich information, such as
product details, customer demands and some emotions. Therefore, it is crucial to extract the …