论文阅读 Question Generation - 代码天地

论文阅读 Question Generation

其他 2018-07-18 05:09:22 阅读次数: 0

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转载自blog.csdn.net/thormas1996/article/details/81015549

论文阅读 Question Generation

论文阅读 | Cross-Lingual Training for Automatic Question Generation

论文阅读 | Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling

阅读《Learning to Ask: Neural Question Generation for Reading Comprehension 》

论文阅读 Question Answering

论文学习8-How Question Generation Can Help Question Answering over Knowledge Base（KBQA-知识问答）

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base【论文笔记】

【NQG】Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks论文笔记

论文阅读：Unsupervised Question Answering by Cloze Translation

DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING阅读理解论文阅读笔记

复现Machine Comprehension by Text-to-Text Neural Question Generation记录

论文阅读：Learning Visual Question Answering by Bootstrapping Hard Attention

[VQA论文阅读]RUBi Reducing Unimodal Biases for Visual Question Answering

论文阅读：Multimodal Graph Transformer for Multimodal Question Answering

论文《Chinese Poetry Generation with Recurrent Neural Network》阅读笔记

ICSE NIER 2017 论文阅读 - Production-Driven Patch Generation

论文阅读Practical Block-wise Neural Network Architecture Generation

论文阅读 | Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

阅读论文《Difficulty Controllable Generation of Reading Comprehension Questions》

论文阅读：Spatial-Temporal Transformer for Dynamic Scene Graph Generation

论文阅读：CTRL: A CONDITIONAL TRANSFORMER LANGUAGE MODEL FOR CONTROLLABLE GENERATION

《subgraph federated learning with missing neighbor generation》论文阅读

《论文阅读》SetGNER:General Named Entity Recognition as Entity Set Generation

[论文阅读73]Prefix-Tuning：Optimizing Continuous Prompts for Generation

PolyFormer: Referring Image Segmentation as Sequential Polygon Generation 论文阅读笔记

question

To be or not to be,this is a question

To be or Not to be that is the question

Deep Reinforcement Learning for Dialogue Generation 论文阅读 A Diversity-Promoting Objective Function for Neural Conversation Models论文阅读

Efficient and Robust Question Answering from Minimal Context over Documents 论文阅读及实现

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