ACL 2020接收论文列表公开，接收率25.2%，你上榜了吗？

机器之心报道

参与：魔王

自然语言处理顶会 ACL 2020 将于 7 月 5 日-10 日线上举行。不久之前，ACL 论文接收结果公布，但官方并未放出完整的论文列表。近日，ACL 接收论文列表公布，让我们看一下都有哪些论文被接收了。

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