Minghao Hu

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, …

Span extraction and contrastive learning for coreference resolution

2022

Coreference resolution is a primary task in natural language processing (NLP), designed to automatically identifyand classify noun phrases or pronouns that represent thesame mention. Most of the recent coreference resolution models extraction or cluster mentions. …

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, …