Fine-tuning pre-trained language models (PLMs) achieves impressive
perfo...
Recent machine reading comprehension datasets include extractive and boo...
Existing models on Machine Reading Comprehension (MRC) require complex m...
Transfer learning techniques are particularly useful in NLP tasks where ...
We introduce TechQA, a domain-adaptation question answering dataset for ...
Many of the top question answering systems today utilize ensembling to
i...
Existing literature on Question Answering (QA) mostly focuses on algorit...
BERT (Bidirectional Encoder Representations from Transformers) and relat...
This paper introduces a novel orchestration framework, called CFO
(COMPU...