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
【ACL 2020接收论文列表公开,接收率25.2%,你上榜了吗?】 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 。
ACL 2020接收论文列表公开,接收率25.2%,你上榜了吗?
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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% 。
ACL 2020接收论文列表公开,接收率25.2%,你上榜了吗?
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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):


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