Beyond Paragraphs: NLP for Long Sequences

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorials Pub Date : 2021-06-01 DOI:10.18653/V1/2021.NAACL-TUTORIALS.5

Iz Beltagy, Arman Cohan, Hannaneh Hajishirzi, Sewon Min, Matthew E. Peters

引用次数: 5

Abstract

In this tutorial, we aim at bringing interested NLP researchers up to speed about the recent and ongoing techniques for document-level representation learning. Additionally, our goal is to reveal new research opportunities to the audience, which will hopefully bring us closer to address existing challenges in this domain.

查看原文本刊更多论文

超越段落:长序列的NLP

在本教程中，我们的目标是让感兴趣的NLP研究人员了解最新和正在进行的文档级表示学习技术。此外，我们的目标是向观众展示新的研究机会，这将使我们更接近解决这一领域现有的挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorials

自引率

0.00%

发文量