CCRI: Planning-C: Facilitating Language Technologies for Crisis Response (LT4CR)

CCRI:Planning-C:促进语言技术应对危机(LT4CR)

基本信息

  • 批准号:
    2234895
  • 负责人:
  • 金额:
    $ 9.89万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-03-15 至 2025-02-28
  • 项目状态:
    未结题

项目摘要

The advent of digital era has made natural language processing (NLP) technology both promising and important for disaster response. Language technologies can, for instance, be used for triaging the need for immediate assistance based on text messages, translating vast amounts of data related to ongoing pandemics, or engage in conversations to guide natural disaster victims. However, these advances are only limited to a few dozen of the more than 6500 languages spoken or signed in the world today, neglecting millions of people and widening the "digital divide", effectively reducing the technologies' real-world utility.This CISE Computing Research Infrastructure (CCRI) planning grant will lay out a concrete path to language technologies for crisis/disaster response that will be useful for everyone. This requires developing crucial infrastructure to support research towards technological solutions that enable and support communications in crisis scenarios. Specifically, the project will produce a thorough survey of language technologies for crisis response, in order to identify stakeholders and literature gaps. The team will then curate plans for research instrastructure, which will consist of datasets applicable to carefully curated crisis/disaster scenarios tied to prototypical language scenarios that are necessary for communicating with vulnerable populations. The planning phase will disseminate the results via a workshop, which will bring together researchers focusing on NLP, experts in disaster relief, linguistics, and human-computer interaction, as well as representatives from local speech communities, to facilitate a research community focused on language technologies for crisis response with representation from all stakeholders.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
数字时代的到来使得自然语言处理(NLP)技术在灾害响应中既有前途又有重要意义。例如,语言技术可以用于根据短信对紧急援助的需求进行分类,翻译与正在发生的流行病有关的大量数据,或参与对话以指导自然灾害受害者。然而,这些进步仅限于当今世界上6500多种语言中的几十种,忽视了数百万人,扩大了“数字鸿沟”,有效地降低了技术的现实世界效用。CISE计算研究基础设施(CCRI)计划拨款将为危机/灾难响应提供一条具体的道路,这将对每个人都有用。这需要发展关键的基础设施,以支持研究技术解决方案,从而在危机情况下实现和支持通信。具体而言,该项目将对危机应对的语言技术进行全面调查,以确定利益相关者和文献空白。然后,该团队将策划研究机构的计划,其中将包括适用于精心策划的危机/灾难场景的数据集,这些场景与与脆弱人群沟通所必需的原型语言场景相关联。规划阶段将通过研讨会传播成果,研讨会将汇集专注于自然语言处理的研究人员,救灾,语言学和人机交互方面的专家,以及当地语言社区的代表,该奖项反映了NSF的法定使命,并被认为值得支持通过使用基金会的知识价值和更广泛的影响审查标准进行评估。

项目成果

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Antonios Anastasopoulos其他文献

PROBER: A System for Real-time Propaganda Behavior Analytics on Social Media and Web Data Streams
PROBER:社交媒体和网络数据流实时宣传行为分析系统
Noisy Parallel Data Alignment
嘈杂的并行数据对齐
  • DOI:
    10.48550/arxiv.2301.09685
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ruoyu Xie;Antonios Anastasopoulos
  • 通讯作者:
    Antonios Anastasopoulos
Flagging Comprehensibility Issues in Hindi Text with Question Answering
通过问答标记印地语文本中的可理解性问题
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Antonios Anastasopoulos;A. Cattelan;Yi Dou;Marcello Federico;Christian Federman;Dmitriy Genzel;Francisco Guzm'an;Junjie Hu;Sheila Castilho;Stephen Doherty;F. Gaspari;J. Devlin;Ming;Kenton Lee;Natasha Dhawan;I. Subbiah;Benjamin Thompson;Zachary Hildner;Areeba;Eric Prommer;Christian T Sinclair
  • 通讯作者:
    Christian T Sinclair
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual Transfer
标记还是不标记:跨语言迁移文本表示的比较研究
  • DOI:
    10.48550/arxiv.2310.08078
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Md Mushfiqur Rahman;Fardin Ahsan Sakib;FAHIM FAISAL;Antonios Anastasopoulos
  • 通讯作者:
    Antonios Anastasopoulos
Language and Speech Technology for Central Kurdish Varieties
中部库尔德语品种的语言和语音技术

Antonios Anastasopoulos的其他文献

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{{ truncateString('Antonios Anastasopoulos', 18)}}的其他基金

EAGER: Building Language Technologies by Machine Reading Grammars
EAGER:通过机器阅读语法构建语言技术
  • 批准号:
    2327143
  • 财政年份:
    2023
  • 资助金额:
    $ 9.89万
  • 项目类别:
    Standard Grant
Collaborative Research: Language Documentation with an Artificial Intelligence (AI) Helper
协作研究:使用人工智能 (AI) 助手进行语言文档记录
  • 批准号:
    2109578
  • 财政年份:
    2021
  • 资助金额:
    $ 9.89万
  • 项目类别:
    Standard Grant
Collaborative Research: RI: Small: NL(V)P: Natural Language (Variety) Processing
合作研究:RI:小型:NL(V)P:自然语言(品种)处理
  • 批准号:
    2125466
  • 财政年份:
    2021
  • 资助金额:
    $ 9.89万
  • 项目类别:
    Standard Grant

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美国-巴西计划访问:促进巴西南部大陆架合作研究
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合作研究:美国-巴西规划访问:促进巴西南部大陆架的合作研究
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