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Parsing to Stanford Dependencies: Trade-offs between speed and accuracy Daniel Cer? , Marie-Catherine de Marneffe‡ , Daniel Jurafsky‡ , Christopher D. Manning?‡ Computer Science Department and ‡ Linguistics Depar
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Document Date: 2010-04-20 00:55:09


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City

Madrid / Prague / Copenhagen / Frankfurt / /

Company

IBM / Air Force Research Laboratory / English Penn Treebank / Resolution Trust Corp. / Parsing Technologies / Penn Treebank / Intel / /

Country

Spain / /

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Event

Product Issues / Product Recall / /

Facility

Air Force Research Laboratory / Johan Hall / University of London / /

IndustryTerm

tree algorithms / biological applications / biomedical text mining community / feature dot products / bank / fundamental algorithm / natural language processing / cyclic dependency network / default search space size / clinical language processing / search space / /

Organization

Defense Advanced Research Projects Agency / U.S. Government / Computer Science Department / Stanford University Stanford / Association for Computational Linguistics Workshop / School of Crystallography / University of London / Association for Computational Linguistics / /

Person

Romain Thibaux / Yusuke Miyao / Sanda Harabagiu / Jan Hajic / Eugene Charniak / Gabriel Nicolae / Matt Broadhead / Roger Nkambou / Kenji Sagae / Daniel M. Bikel / Michael J. Cafarella / Mark Stevenson / Marie-Catherine de Marneffe / Van Landeghem / Antti Airola / Adrian J. Shepherd / T. V. Prabhakar / Tapio Pahikkala / Sampo Pyysalo / Stanford Dependencies / Ryan McDonald / Fernando Pereira / Veronika Laippala / Mark A. Greenwood / Michele Banko / Dan Klein / Andrew B. Clegg / Kristina Toutanova / Michael A. Covington / Juho Heimonen / Stefan Harmeling / Slav Petrov / Filip Ginter / Bernard De Baets / Yoram Singer / Stephen Soderland / Amal Zouaq / Katri Haverinen / Mike Ross / Catherine Blake / Daniel Jurafsky / Cristina Nicolae / Jason S. Kessler / Brownback prep_on / Rod Adams / Kiril Ribarov / Bill MacCartney / Arun Meena / Takuya Matsuzaki / Jay Urbain / Oren Etzioni / Rune Saetre / Mark Johnson / Nazli Goharian / Daniel Cer / Linas Vepstas / Stanford englishPCFG / Jari Bj¨orne / Claude Frasson / Yvan Saeys / Tapio Salakoski / Christopher D. Manning / Ophir Frieder / Jens Nilsson / Leon Barrett / Jason Eisner / Cory B. Giles / /

Position

Senator / /

Product

75.7 76.8 75.9 81.7 80.5 79.2 78.4 58.6 40.8 Table / T10 / /

ProvinceOrState

Kansas / /

PublishedMedium

Computational Linguistics / Lecture Notes in Computer Science / /

Technology

genomics / Bioinformatics / fundamental algorithm / MST algorithm / Malt algorithms / machine learning / natural language processing / spanning tree algorithms / artificial intelligence / using spanning tree algorithms / /

URL

http /

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