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NIPS
2001
13 years 7 months ago
Natural Language Grammar Induction Using a Constituent-Context Model
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
Dan Klein, Christopher D. Manning
SIAMIS
2010
378views more  SIAMIS 2010»
13 years 11 days ago
Global Interactions in Random Field Models: A Potential Function Ensuring Connectedness
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
Sebastian Nowozin, Christoph H. Lampert
CHI
2006
ACM
14 years 6 months ago
Speech pen: predictive handwriting based on ambient multimodal recognition
It is tedious to handwrite long passages of text by hand. To make this process more efficient, we propose predictive handwriting that provides input predictions when the user writ...
Kazutaka Kurihara, Masataka Goto, Jun Ogata, Takeo...
AIRS
2009
Springer
14 years 7 days ago
A Latent Dirichlet Framework for Relevance Modeling
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
Viet Ha-Thuc, Padmini Srinivasan
UIST
2005
ACM
13 years 11 months ago
eyeLook: using attention to facilitate mobile media consumption
One of the problems with mobile media devices is that they may distract users during critical everyday tasks, such as navigating the streets of a busy city. We addressed this issu...
Connor Dickie, Roel Vertegaal, Changuk Sohn, Danie...