A bank loan type project that lets the user see by answering a few simple questions if the applicant is eligible for a bank loan or if the applicant would be a risk factor.
Many researchers have used lexical networks and ontologies to mitigate synonymy and polysemy problems in Question Answering (QA), systems coupled with taggers, query classifiers, and answer extractors in complex and ad-hoc ways. We seek to make QA s
The Transformer network consists of multiple layers, each with several Attention Heads (and additional layers), used to learn different relationships between tokens. As in many NLP models, the input tokens are first embedded into vectors
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Standford Question Answering Dataset (SQuAD) is a reading comprehension dataset by Standford University and has two versions.
斯坦福问答数据集是由斯坦福大学创建的阅读理解数据集，有两个版本。
Know What You Don’t Know- Unanswerable Questions for SQuAD paper.pdf
LUKE.pdf
SQuAD1.1.p
