Collaborative: SGER: New Problem Genres for the North American Computational Linguistics Olympiad

协作:SGER:北美计算语言学奥林匹克竞赛的新问题类型

基本信息

项目摘要

Abstract NACLO is a high school Olympiad contest in linguistics and language technologies. Formulating contest problems is not straightforward because the contest does not have pre-requisites. Because students are not expected to know linguistics, specific languages, advanced math, or computer programming, the problems must be self-contained, and yet must still test the skills such as algorithmic thinking, abstractly representing a solution space, reducing a solution space, and evaluating a solution. These skills represent computational thinking, the part of computer science that does not involve computers. Some problems also introduce tools of linguistics and language technologies such as finite state machines and context free grammars. So more generally, this Small Grant for Exploratory research tackles the new problem of designing a curriculum of training sessions and contest problems that introduce high school students to computational thinking as it applies to the processng of human languages. The importance of the project is to inspire students to study linguistics and computer science and to increase participation and diversity in those fields.
摘要 NACLO 是一项高中语言学和语言技术奥林匹克竞赛。制定竞赛问题并不简单,因为竞赛没有先决条件。由于学生不需要了解语言学、特定语言、高等数学或计算机编程,因此问题必须是独立的,但仍然必须测试算法思维、抽象表示解决方案空间、减少解决方案空间和评估解决方案等技能。这些技能代表了计算思维,即计算机科学中不涉及计算机的部分。有些问题还引入了语言学和语言技术的工具,例如有限状态机和上下文无关语法。因此,更广泛地说,这项探索性研究的小额资助解决了设计培训课程和竞赛问题的新问题,向高中生介绍计算思维,因为它适用于人类语言的处理。该项目的重要性在于激励学生学习语言学和计算机科学,并增加这些领域的参与度和多样性。

项目成果

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Dragomir Radev其他文献

Large Language Models: What will happen next?
大型语言模型:接下来会发生什么?
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jungo Kasai;Keisuke Sakaguchi;Ronan Le Bras;Hao Peng;Ximing Lu;Dragomir Radev;Yejin Choi;Noah A. Smith;Keisuke Sakaguchi
  • 通讯作者:
    Keisuke Sakaguchi
Neural Natural Language Processing for unstructured data in electronic health records: A review
电子健康记录中用于非结构化数据的神经自然语言处理:综述
  • DOI:
    10.1016/j.cosrev.2022.100511
  • 发表时间:
    2022-11-01
  • 期刊:
  • 影响因子:
    12.700
  • 作者:
    Irene Li;Jessica Pan;Jeremy Goldwasser;Neha Verma;Wai Pan Wong;Muhammed Yavuz Nuzumlalı;Benjamin Rosand;Yixin Li;Matthew Zhang;David Chang;R. Andrew Taylor;Harlan M. Krumholz;Dragomir Radev
  • 通讯作者:
    Dragomir Radev

Dragomir Radev的其他文献

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{{ truncateString('Dragomir Radev', 18)}}的其他基金

Collaborative Research: EAGER: Computational Thinking Olympiad
合作研究:EAGER:计算思维奥林匹克竞赛
  • 批准号:
    1048437
  • 财政年份:
    2010
  • 资助金额:
    $ 4.73万
  • 项目类别:
    Standard Grant
Collaborative Research: BlogoCenter - Infrastructure for Collecting, Mining and Accessing Blogs
协作研究:BlogoCenter - 收集、挖掘和访问博客的基础设施
  • 批准号:
    0534323
  • 财政年份:
    2006
  • 资助金额:
    $ 4.73万
  • 项目类别:
    Continuing Grant
Probabilistic and link-based Methods for Exploiting Very Large Textual Repositories
用于利用超大型文本存储库的概率和基于链接的方法
  • 批准号:
    0329043
  • 财政年份:
    2003
  • 资助金额:
    $ 4.73万
  • 项目类别:
    Continuing Grant
Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics; Philadelphia, PA
自然语言处理和计算语言学教学有效工具和方法研讨会;
  • 批准号:
    0226408
  • 财政年份:
    2002
  • 资助金额:
    $ 4.73万
  • 项目类别:
    Standard Grant
ITR: Information Fusion Across Multiple Text Sources: A Common Theory
ITR:跨多个文本源的信息融合:通用理论
  • 批准号:
    0082884
  • 财政年份:
    2000
  • 资助金额:
    $ 4.73万
  • 项目类别:
    Continuing Grant

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SGER:协作研究:北美计算语言学奥林匹克竞赛的新问题类型
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