Uppsala / Clemmons / Boulder / Parser / Philadelphia / SRILM / Cambridge / /
Company
IBM / Wall Street Journal / Etymotic Research Inc. / Human Language Technologies / Penn Treebank / /
Country
Sweden / United States / Australia / Singapore / /
Currency
pence / /
Facility
Computing Macquarie University / Cognitive Science Macquarie University / Massachusetts Institute of Technology / Fast stable / /
IndustryTerm
beam search / possible applications / language processing / on-line parsing models / human sentence processing / on-line sentence processing / quantum interference devices / /
Organization
Society of America / Jon Brock Macquarie Centre for Cognitive Science Macquarie University Sydney / Massachusetts Institute of Technology / Royal Statistical Society / Mark Johnson Department of Computing Macquarie University Sydney / North American Chapter / Association for Computational Linguistics / /
Person
Carlos Cardenas / Andrew Carlson / Robert C. Moore / Marcel Adam Just / Cyma Van Petten / Kara D. Federmeier / Tom M. Mitchell / Marco Baroni / Brian Murphy / Kai-Min Chang / Vera Demberg / Van Petten / Mirella Lapata / Jerome L. Myers / Svetlana V. Shinkareva / Massimo Poesio / Roger Levy / Jeff Mitchell / Christophe Pallier / John Hale / Jon Brock / Ke Chen / Kazuaki Maeda / V. Della Pietra / David Graff / Mason / Arnold D. Well / Marta Kutas / Mehdi Parviz / S. Della Pietra / V / Mark Johnson / Brian Roark / Steven A. Hillyard / Klinton Bicknell / Junbo Kong / Robert A. Figure / Asaf Bachrach / Blake Johnson / Lawrence Erlbaum / Joshua Goodman / Vicente L. Malave / Andreas Stolcke / Frank Keller / / /
Position
parsing model / incremental parsing model / /
Product
Gigaword / /
ProvinceOrState
Massachusetts / Colorado / /
PublishedMedium
Computational Linguistics / Journal of the Royal Statistical Society / Wall Street Journal / /
Using Language Models and Latent Semantic Analysis to Characterise the N400m Neural Response Mehdi Parviz, Mark Johnson Department of Computing Macquarie University Sydney, Australia