此次 ACL 会议的投稿数量为 3088 篇，与去年的投稿数量 2906 篇相比稍有增长。ACL 2020 共接收 779 篇论文，包括 571 篇长论文和 208 篇短论文，接收率为 25.2%。
在接收论文列表中，我们看到了很多熟悉的名字：
Christopher D. Manning（斯坦福大学教授、斯坦福 AI 实验室负责人）：
Finding Universal Grammatical Relations in Multilingual BERT
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
Yoshua Bengio（加拿大计算机科学家、蒙特利尔大学教授）：
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
Yoav Goldberg（以色列 Bar-Ilan 大学计算机科学系高级讲师）：
A Formal Hierarchy of RNN Architectures
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora
Unsupervised Domain Clusters in Pretrained Language Models
A Two-Stage Masked LM Method for Term Set Expansion
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Noah A. Smith（华盛顿大学计算机科学与工程系教授）：
A Formal Hierarchy of RNN Architectures
A Mixture of h − 1 Heads is Better than h Heads
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
Improving Transformer Models by Reordering their Sublayers
Social Bias Frames: Reasoning about Social and Power Implications of Language
The Right Tool for the Job: Matching Model and Instance Complexities
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models
Percy Liang（斯坦福大学计算机系副教授、斯坦福人工智能实验室成员）：
Robust Encodings: A Framework for Combating Adversarial Typos
Selective Question Answering under Domain Shift
Enabling Language Models to Fill in the Blanks
ExpBERT: Representation Engineering with Natural Language Explanations
Shaping Visual Representations with Language for Few-Shot Classification
Sebastian Ruder（DeepMind 研究科学家）：
A Call for More Rigor in Unsupervised Cross-lingual Learning
On the Cross-lingual Transferability of Monolingual Representations
周明（微软亚洲研究院副院长、国际计算语言学协会（ACL）主席）：
A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction
Curriculum Pre-training for End-to-End Speech Translation
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder
Graph Neural News Recommendation with Unsupervised Preference Disentanglement
Improving Neural Machine Translation with Soft Template Prediction
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
MIND: A Large-scale Dataset for News Recommendation
MuTual: A Dataset for Multi-Turn Dialogue Reasoning
Reasoning Over Semantic-Level Graph for Fact Checking
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation
A Simple and Effective Unified Encoder for Document-Level Machine Translation
刘铁岩（微软亚洲研究院副院长）：
A Study of Non-autoregressive Model for Sequence Generation
SEEK: Segmented Embedding of Knowledge Graphs
SimulSpeech: End-to-End Simultaneous Speech to Text Translation
刘群（华为诺亚方舟实验室语音语义首席科学家）：
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order
Word-level Textual Adversarial Attacking as Combinatorial Optimization
宗成庆（中科院自动化所研究员）：
Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization
孙茂松（清华大学计算机科学与技术系教授）：
Continual Relation Learning via Episodic Memory Activation and Reconsolidation
Fine-grained Fact Verification with Kernel Graph Attention Network
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
Word-level Textual Adversarial Attacking as Combinatorial Optimization
刘知远（清华大学计算机科学与技术系副教授）：
Continual Relation Learning via Episodic Memory Activation and Reconsolidation
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen
Fine-grained Fact Verification with Kernel Graph Attention Network
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence
Word-level Textual Adversarial Attacking as Combinatorial Optimization
MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs
黄民烈（清华大学计算机科学与技术系副教授）：
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition
万小军（北京大学计算机科学技术研究所研究员）：
Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study
Heterogeneous Graph Transformer for Graph-to-Sequence Learning
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization
Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization
Semantic Parsing for English as a Second Language
Multimodal Transformer for Multimodal Machine Translation
邱锡鹏（复旦大学计算机科学技术学院教授）：
Extractive Summarization as Text Matching
Heterogeneous Graph Neural Networks for Extractive Document Summarization
Improving Image Captioning with Better Use of Caption
FLAT: Chinese NER Using Flat-Lattice Transformer
韩松（MIT 电子工程和计算机科学系助理教授）：
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
欢迎中了 ACL 2020 论文的读者留言，机器之心也将持续为大家推荐更多优质论文。
ACL 2020 接收论文列表，参见：https://acl2020.org/program/accepted/#long-papers
