ACL2020录取文章已经放出，连接以下：node
ACL2020论文集合 www.aclweb.org为了之后更加方便地阅读论文，也本着一颗开源之心，花一个下午的时间整理了一下相关论文。鉴于本人精力有限，而且也只在NLP领域作过部分任务，所以只整理了如下四种任务的论文：（1）预训练语言模型及部分应用（18篇）；（2）QA问答系统及机器阅读理解（13篇）；（3）问题生成（7篇）；（4）天然语言推理（文本蕴含or文本匹配）（4篇）。git
欢迎你们进行补充~~~~~~github
1、预训练语言模型及部分应用
（1）QuASE: Question-Answer Driven Sentence Encodingweb
（2）TaBERT: Pretraining for Joint Understanding of Textual and Tabular Dataapp
（3）Don’t Stop Pretraining: Adapt Language Models to Domains and Tasksflex
（4）BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensionspa
（5）Toward Better Storylines with Sentence-Level Language Models
（6）tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection
（7）FastBERT: a Self-distilling BERT with Adaptive Inference Time
（8）Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
（9）DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
（10）Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention
（11）schuBERT: Optimizing Elements of BERT
paper：论文
（12）Span Selection Pre-training for Question Answering
（13）DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
（14）MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
（15）A Generative Model for Joint Natural Language Understanding and Generation
paper：论文
（16）Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning
（17）Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order
paper：论文
（18）Few-Shot NLG with Pre-Trained Language Model
2、QA问答系统及机器阅读理解
（1）DoQA - Accessing Domain-Specific FAQs via Conversational QA
（2）CorefQA: Coreference Resolution as Query-based Span Prediction
（3）RikiNet: Reading Wikipedia Pages for Natural Question Answering
paper：论文
（4）Harvesting and Refining Question-Answer Pairs for Unsupervised QA
（5）Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering
（6）Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
（7）Contextualized Sparse Representations for Real-Time Open-Domain Question Answering
（8）Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension
（9）Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
（10）Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
（11）Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings
（12）A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
paper：论文
（13）A Frame-based Sentence Representation for Machine Reading Comprehension
paper：论文
3、问题生成
（1）ClarQ: A large-scale and diverse dataset for Clarification Question Generation
（2）How to Ask Good Questions? Try to Leverage Paraphrases
paper：论文
（3）On the Importance of Diversity in Question Generation for QA
paper：论文
（4）Semantic Graphs for Generating Deep Questions
（5）Unsupervised FAQ Retrieval with Question Generation and BERT
（6）Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
（7）Low-Resource Generation of Multi-hop Reasoning Questions
paper：论文
4、天然语言推理（文本蕴含or文本匹配）
（1）Uncertain Natural Language Inference
（2）Towards Robustifying NLI Models Against Lexical Dataset Biases
（3）NILE : Natural Language Inference with Faithful Natural Language Explanations
（4）Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
ACL2020共收录了779篇论文，整理下来实属不易，还请你们多多点赞~~~
鉴于本人仅对上述几个任务有所涉及，所以只整理了这几个模块；其余小伙伴若是有一些建议或愿意一块儿整理，能够留言，会持续更新~~~~
接下来，有可能会进一步进行解读，将论文摘要部分添加进来，给更多小伙伴提供方便。
广告时间，哈哈哈哈。推荐几篇本人以前写的一些文章：