AI Conference Machine Learning & Data Science Nature Language Tech Technology

ACL 2020 Announces Best Paper & Test-Of-Time Awards

Organizers of the 58th Annual Meeting of the Association for Computational Linguistics (ACL) today announced their Best Paper Awards.

Organizers of the 58th Annual Meeting of the Association for Computational Linguistics (ACL) today announced their Best Paper Awards, with the Best Overall Paper going to Beyond Accuracy: Behavioral Testing of NLP Models with CheckList by researchers from Microsoft, University of Washington, and University of California-Irvine.

bn-7:8.png

The winning paper introduces CheckList, a task-agnostic methodology for testing NLP models that includes a matrix of general linguistic capabilities and test types that facilitate comprehensive test ideation, and a software tool that can quickly generate a large number of diverse test cases.

ACL announced two Honourable Mentions in the Overall Best Paper category: Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks by researchers from the Allen Institute for Artificial Intelligence and University of Washington. and Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics by researchers from the University of Melbourne.

The honourable mentions are Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks by researchers from the Allen Institute for Artificial Intelligence and University of Washington; and Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics by researchers from the University of Melbourne.

The ACL 2020 Test-of-Time Awards meanwhile went to the 1995 papers Centering: A Framework for Modeling the Local Coherence of Discourse by Barbara J. Grosz, Aravind K. Joshi, and Scott Weinstein; and Unsupervised Word Sense Disambiguation Rivaling Supervised Methodsby David Yarowsky; and the 2010 papers Distributional Memory: A General Framework for Corpus-based Semantics by Marco Baroni and Alessandro Lenci; and Word Representations: A Simple and General Method for Semi-supervised Learning by Joseph Turian, Lev-Arie Ratinov, and Yoshua Bengio.

A total of 779 papers (571 long papers and 208 short papers) were selected by the ACL conference committee this year from 3,088 submissions — an acceptance rate of 25.2 percent.

ACL is a premier conference in the computational linguistics field, covering a range of research areas concerned with computational approaches to natural language. Originally scheduled for Seattle in the US, ACL 2020 was moved online due to the COVID-19 pandemic and runs July 5 to 10.


Journalist: Yuan Yuan | Editor: Michael Sarazen


Synced Report | A Survey of China’s Artificial Intelligence Solutions in Response to the COVID-19 Pandemic — 87 Case Studies from 700+ AI Vendors

This report offers a look at how the Chinese government and business owners have leveraged artificial intelligence technologies in the battle against COVID-19. It is also available on Amazon Kindle.

Click here to find more reports from us.


We know you don’t want to miss any story. Subscribe to our popular Synced Global AI Weekly to get weekly AI updates.

1 comment on “ACL 2020 Announces Best Paper & Test-Of-Time Awards

  1. Pingback: [N] ACL 2020 Announces Best Paper & Test-Of-Time Awards – tensor.io

Leave a Reply

Your email address will not be published.

%d bloggers like this: