论文标题
NLP研究的主要障碍：让我们谈谈时间分配！
A Major Obstacle for NLP Research: Let's Talk about Time Allocation!
论文作者
论文摘要
自然语言处理领域（NLP）在过去几年中发展了：会议变得更大，我们发表了大量论文，并且在各种面向客户的产品中已经实施了最新的研究。但是，本文认为，我们的成功不如应有的，并且反思了该领域在何处以及如何利用其全部潜力。具体来说，我们证明，近年来，Sust Parter时间分配一直是NLP研究的主要障碍。我们概述了多个具体问题以及它们的负面后果，重要的是提出了改善现状的补救措施。我们希望本文将成为讨论常见实践或对NLP研究有益的讨论的起点。
The field of natural language processing (NLP) has grown over the last few years: conferences have become larger, we have published an incredible amount of papers, and state-of-the-art research has been implemented in a large variety of customer-facing products. However, this paper argues that we have been less successful than we should have been and reflects on where and how the field fails to tap its full potential. Specifically, we demonstrate that, in recent years, subpar time allocation has been a major obstacle for NLP research. We outline multiple concrete problems together with their negative consequences and, importantly, suggest remedies to improve the status quo. We hope that this paper will be a starting point for discussions around which common practices are -- or are not -- beneficial for NLP research.
