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

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

其他 2020-04-21 23:50:51 阅读次数: 0

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

论文阅读 Question Generation

Explicit Cross-lingual Pre-training for Unsupervised Machine Translation(CMLM阅读笔记)

论文笔记：Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus

论文笔记：Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training

论文笔记：UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training

论文笔记：Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Mo

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

[文献阅读]—Unsupervised Cross-lingual Representation Learning at Scale

[文献阅读]—Cross-lingual Language Model Pretraining

【论文笔记】WarpGAN: Automatic Caricature Generation

论文阅读 - FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual

论文笔记：Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieva

阅读笔记——《UTOPIA: Automatic Generation of Fuzz Driverusing Unit Tests》

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

A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings论文笔记

论文笔记：Composable Sparse Fine-Tuning for Cross-Lingual Transfer

论文笔记：Cross-Lingual Ability of Multilingual BERT: An Empirical Study

论文笔记：Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

论文笔记：Multi-Source Cross-Lingual Model Transfer: Learning What to Share

论文笔记：COCO-CN for Cross-Lingual Image Tagging, Captioning, and Retrieval

论文笔记：Towards Zero-shot Cross-lingual Image Retrieval and Tagging

Re72：读论文 XLM Cross-lingual Language Model Pretraining

论文阅读总结：UniLM(Unified Language Model Pre-training for Natural Language Understanding and Generation)

论文阅读：Noise-Resilient Training Method for Face Landmark Generation From Speech

论文阅读 Question Answering

C#----Automatic question application

翻译论文：ARAML: A Stable Adversarial Training Framework for Text Generation

Question Of AI Model Training

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

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