p208p2002/gpt2-squad-nqg-hl

Transformer QG on SQuAD

HLQG is Proposed by Ying-Hong Chan & Yao-Chung Fan. (2019). A Re-current BERT-based Model for Question Generation.

This is a Reproduce Version

More detail: p208p2002/Transformer-QG-on-SQuAD

Usage

Input Format

C' = [c1, c2, ..., [HL], a1, ..., a|A|, [HL], ..., c|C|]

Input Example

Harry Potter is a series of seven fantasy novels written by British author, [HL]J. K. Rowling[HL].

# Who wrote Harry Potter?

Data setting

We report two dataset setting as Follow

SQuAD

• —train: 87599\\\\t
• —validation: 10570

SQuAD: 100,000+ Questions for Machine Comprehension of Text

SQuAD NQG

• —train: 75722
• —dev: 10570
• —test: 11877

Learning to Ask: Neural Question Generation for Reading Comprehension

Available models

• —BART
• —GPT2
• —T5

Expriments

We report score with NQG Scorer which is using in SQuAD NQG.

If not special explanation, the size of the model defaults to "base".

SQuAD

SQuAD NQG