Zhen Huang

Read + Verify: Machine Reading Comprehension with Unanswerable Questions

2018 · arXiv (Cornell University)

Machine reading comprehension with unanswerable questions aims to abstain from answering when no answer can be inferred. In addition to extract answers, previous works usually predict an additional "no-answer" probability to detect unanswerable cases. However, …

Further predictive value of lymphovascular invasion explored via supervised deep learning for lymph node metastases in breast cancer

2022 · Human Pathology

Lymphovascular invasion, specifically lymph-blood vessel invasion (LBVI), is a risk factor for metastases in breast invasive ductal carcinoma (IDC) and is routinely screened using hematoxylin-eosin histopathological images. However, routine reports only describe whether LBVI is …

CNN and Attention-Based Joint Source Channel Coding for Semantic Communications in WSNs

2024 · Sensors

Wireless Sensor Networks (WSNs) have emerged as an efficient solution for numerous real-time applications, attributable to their compactness, cost-effectiveness, and ease of deployment. The rapid advancement of 5G technology and mobile edge computing (MEC) in …

Attention-Guided Answer Distillation for Machine Reading Comprehension

2018

Despite that current reading comprehension systems have achieved significant advancements, their promising performances are often obtained at the cost of making an ensemble of numerous models. Besides, existing approaches are also vulnerable to adversarial attacks. …

Read + Verify: Machine Reading Comprehension with Unanswerable Questions

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

Machine reading comprehension with unanswerable questions aims to abstain from answering when no answer can be inferred. In addition to extract answers, previous works usually predict an additional “no-answer” probability to detect unanswerable cases. However, …