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TLR at DUC: Tree similarity Frank Schilder and Andrew McCulloh and Bridget Thomson McInnes∗ and Alex Zhou Thomson Legal & Regulatory R&D 610 Opperman Drive Eagan MN 55123, USA
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Document Date: 2006-01-03 11:31:44


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City

Ann Arbor / Barcelona / Boston / New York / Cambridge / Granada / Dependency / London / Waterloo / /

Company

MIT Press / Language Resources / ACM Press / Pearson / ROUGE / Stacy / /

Country

Poland / United States / United Kingdom / Spain / Ireland / /

Event

Product Issues / Product Recall / /

Facility

The pyramid / Columbia University / Engineering University of Minnesota / University of Toronto / /

IndustryTerm

pronoun resolution tool / software resolves / rhetorical smoothing tool / Tree matching algorithms / summarization systems / distance algorithm / fact-based question answering systems / computing / summarization algorithm / tree distance algorithm / /

Organization

Columbia University / NIST / MIT / World Bank / United Nations / Department of Computer Science / University of Toronto / University of Minnesota / /

Person

Ani Nenkova / Victor Peinado / Rebecca Passonneau / Christof Monz / Frank Schilder / Eric Brill / Salim Roukos / Madonna Backstrom / Enrique Amigo / Anselmo Penas / Bonnie Dorr / Richard Schwartz / Glickman Ido Dagan / Christina McCann / David Zajic / Bernardo Magnini / Julio Gonzalo / Christiane Fellbaum / Andrew McCulloh / Holly Koski / Milen Kouylekov / Khalid Al-Kofahi / Marcu Susan Dumais / Jean Wassenaar / Bridget Thomson McInnes / Smith / Daniel Marcu / Felisa Verdejo / Chin-Yew Lin / Ido Dagan / Watanabe / Oren Glickman / /

Position

President / candidate for the summary / /

Product

words / /

ProgrammingLanguage

Python / /

ProvinceOrState

Minnesota / New York / Michigan / Massachusetts / Ontario / /

PublishedMedium

Computational Linguistics / /

Technology

distance algorithm / Machine Translation / tree distance algorithm / Tree matching algorithms / artificial intelligence / summarization algorithm / /

URL

http /

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