P208p2002
Rank:Average Model Cost: $0.0000
Number of Runs: 3,799
Models by this creator
zh-wiki-punctuation-restore
zh-wiki-punctuation-restore
More Detail: https://github.com/p208p2002/ZH-Punctuation-Restore 共計支援6種標點符號: ， 、 。 ？ ！ ；
$-/run
3.5K
Huggingface
bart-squad-qg-hl
bart-squad-qg-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 Input Example 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
$-/run
97
Huggingface
t5-squad-nqg-hl
$-/run
81
Huggingface
gpt2-squad-qg-hl
$-/run
37
Huggingface
gpt2-drcd-qg-hl
$-/run
21
Huggingface
gpt2-squad-nqg-hl
$-/run
21
Huggingface
bart-squad-nqg-hl
$-/run
20
Huggingface
bart-drcd-qg-hl
$-/run
19
Huggingface
gpt2-medium-babi
$-/run
17
Huggingface