I-Corps: Automated Summarization Technology
I-Corps:自动摘要技术
基本信息
- 批准号:1924726
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-04-01 至 2021-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The broader impact/commercial potential of this I-Corps project is focused on improving human handling and understanding of information contained in long and complex documents. Drawing upon NSF-funded research in digital libraries which apply information retrieval and artificial intelligence techniques (such as natural language processing, machine learning, and deep learning), this project will evaluate whether such technologies (with a particular focus on summarization) can lead to new business opportunities within both the insurance and legal industry. One connection between these industries is the sharing of long, often complex, documents. Integrating summarization methods with information retrieval, and further leveraging text analysis and mining technologies, could aid these businesses in more quickly and efficiently managing such documents. More broadly, the problem of creating a useful summary for a long document is applicable to many businesses, including the publishing industry, where the proposed technology could assist both authors and readers, as well as those involved in discovering, searching, and managing published document collections.This I-Corps project will address how advanced digital library methods can be improved and applied in commercial settings. An important service to aid with managing and understanding information is summarization. While there has been recent automation of extractive (e.g., selecting a set of the most important sentences from a document) and abstractive (e.g., automatically preparing an abstract as would be done by a human abstracter) summarization methods, as applied to news articles or other short but popular works, only extractive methods have yielded much real success when applied to longer documents. Devising and validating effective techniques for constructing abstractive summaries for long documents is a very difficult problem, which is a key focus of this project's efforts. Further, making those techniques work with complex documents in a variety of domains is a special challenge. Connecting such efforts with big data collections, online cloud systems, explainable artificial intelligence methods, and functional user interfaces, are additional challenges that must be addressed in new settings that are of commercial interest.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.
这个I-Corps项目的更广泛的影响/商业潜力集中在改善人类对长而复杂的文档中所包含的信息的处理和理解。利用NSF资助的应用信息检索和人工智能技术(如自然语言处理,机器学习和深度学习)的数字图书馆研究,该项目将评估这些技术(特别关注摘要)是否可以在保险和法律的行业中带来新的商机。这些行业之间的一个联系是共享长而复杂的文档。将摘要方法与信息检索相结合,并进一步利用文本分析和挖掘技术,可以帮助这些企业更快、更有效地管理这些文档。更广泛地说,为长文档创建有用摘要的问题适用于许多企业,包括出版业,在出版业中,所提出的技术可以帮助作者和读者,以及那些参与发现,搜索和管理已出版文档集合的人。摘要是帮助管理和理解信息的一项重要服务。虽然最近已经有了提取的自动化(例如,从文档中选择一组最重要的句子)和抽象的(例如,自动准备摘要(如由人类摘要者所完成的)摘要方法,如应用于新闻文章或其它简短但流行的作品,当应用于较长的文档时,只有提取方法才取得了真实的成功。设计和验证有效的技术来构建长文档的摘要摘要是一个非常困难的问题,这是该项目的工作重点。此外,使这些技术与各种领域中的复杂文档一起工作是一个特殊的挑战。将这些努力与大数据收集、在线云系统、可解释的人工智能方法和功能性用户界面相结合,是在具有商业利益的新环境中必须解决的额外挑战。该奖项反映了NSF的法定使命,并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,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Edward Fox其他文献
The effect of scheduled antibody testing on treatment patterns in interferon-treated patients with multiple sclerosis
- DOI:
10.1186/1471-2377-14-73 - 发表时间:
2014-04-04 - 期刊:
- 影响因子:2.200
- 作者:
Edward Fox;Barbara Green;Clyde Markowitz;Ronald Murray;Andrew D Goodman;Stephen J Glenski;Pippa Loupe;Jo Nita Cogburn - 通讯作者:
Jo Nita Cogburn
How Drug Control Policy and Practice Undermine Access to Controlled Medicines
药物管制政策和实践如何破坏受管制药物的获取
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
N. Burke;J. Csete;D. Wilson;Edward Fox;D. Wolfe;Jennifer J. K. Rasanathan - 通讯作者:
Jennifer J. K. Rasanathan
Varying Dosages of Subcutaneous Unfractionated Heparin and Activated Partial Thromboplastin Time in Hospitalized Antepartum Patients: A Retrospective Cohort Analysis
住院产前患者皮下普通肝素不同剂量和活化部分凝血活酶时间:回顾性队列分析
- DOI:
10.1213/ane.0000000000005866 - 发表时间:
2022 - 期刊:
- 影响因子:5.7
- 作者:
Dalia Elmofty;A. Tucker;Andrew Wuenstel;Paul K. Cheng;Edward Fox;R. Knoebel;Chuanghong Liao;B. Scavone - 通讯作者:
B. Scavone
344. Multi-Ancestry Brain pQTL Fine-Mapping and Integration With GWAS of 21 Neurologic and Psychiatric Conditions
344. 多血统大脑蛋白质数量性状基因座(pQTL)精细定位以及与21种神经和精神疾病的全基因组关联分析(GWAS)的整合
- DOI:
10.1016/j.biopsych.2025.02.582 - 发表时间:
2025-05-01 - 期刊:
- 影响因子:9.000
- 作者:
Aliza Wingo;Yue Liu;Selina Vattathil;Ekaterina S. Gerasimov;Jiaqi Liu;Ananth Shantaraman;Fatemeh seifar;Erming Wang;Bin Zhang;Joseph Reddy;Mariet Allen;Nilüfer Ertekin-Taner;Philip De Jager;Edward Fox;Duc M. Duong;Michael Epstein;David Cutler;Allan Levey;David A. Bennett;Nicholas Seyfried;Thomas Wingo - 通讯作者:
Thomas Wingo
Efficacy of Satralizumab As Monotherapy in Pre-Specified Subgroups of Sakurastar, a Double-Blind Placebo-Controlled Phase 3 Clinical Study in Patients with Neuromyelitis Optica Spectrum Disorder (NMOSD)
- DOI:
10.1016/j.msard.2019.11.051 - 发表时间:
2020-01-01 - 期刊:
- 影响因子:
- 作者:
Jeffrey L. Bennett;Benjamin Greenberg;Anthony Traboulsee;Lech Szczechowski;Edward Fox;Svitlana Shkrobot;Takashi Yamamura;Yusuke Terada;Yuichi Kawata;Pádraig Wright - 通讯作者:
Pádraig Wright
Edward Fox的其他文献
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{{ truncateString('Edward Fox', 18)}}的其他基金
III: Small: Collaborative Research: Global Event and Trend Archive Research (GETAR)
III:小型:协作研究:全球事件和趋势档案研究 (GETAR)
- 批准号:
1619028 - 财政年份:2017
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
III: Small: Integrated Digital Event Archiving and Library (IDEAL)
III:小型:集成数字事件归档和图书馆 (IDEAL)
- 批准号:
1319578 - 财政年份:2013
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
SGER: Collaborative Research: Curatorial Work and Learning in Virtual Environments
SGER:协作研究:虚拟环境中的策展工作和学习
- 批准号:
0910183 - 财政年份:2009
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
III:Small:Integrated Digital Library Support for Crisis, Tragedy, and Recovery
III:小:针对危机、悲剧和恢复的综合数字图书馆支持
- 批准号:
0916733 - 财政年份:2009
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Project: Ensemble: Enriching Communities and Collections to Support Education in Computing
合作项目:Ensemble:丰富社区和馆藏以支持计算教育
- 批准号:
0840719 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Collaborative Research: CPATH CB: Living In the KnowlEdge Society (LIKES)
合作研究:CPATH CB:生活在知识社会(LIKES)
- 批准号:
0722259 - 财政年份:2007
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
SGER: DL-VT416: A Digital Library Testbed for Research Related to 4/16/2007 at Virginia Tech
SGER:DL-VT416:弗吉尼亚理工大学 2007 年 4 月 16 日相关研究的数字图书馆测试平台
- 批准号:
0736055 - 财政年份:2007
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Research: Curriculum Development: Digital Libraries
合作研究:课程开发:数字图书馆
- 批准号:
0535057 - 财政年份:2006
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Extending Retrieval with Stepping Stones and Pathways
通过垫脚石和途径扩展检索
- 批准号:
0307867 - 财政年份:2003
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Collaborative Project: The OCKHAM Library Network, Integrating the NSDL into Traditional Library Services
合作项目:OCKHAM 图书馆网络,将 NSDL 集成到传统图书馆服务中
- 批准号:
0333531 - 财政年份:2003
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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