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» Using Derivation Trees for Treebank Error Detection
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118
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MCFNS
2010
168views more  MCFNS 2010»
14 years 7 months ago
Evaluating TIFFS (Toolbox for LiDAR Data Filtering and Forest Studies) in Deriving Forest Measurements from LiDAR Data
Recent advances in LiDAR (Light Detection and Ranging) technology have allowed for the remote sensing of important forest characteristics to be more reliable and commercially avail...
John Chapman, I.-Kuai Hung, Jeff Tippen
76
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TSP
2008
75views more  TSP 2008»
15 years 7 days ago
Error Exponents for the Detection of Gauss-Markov Signals Using Randomly Spaced Sensors
We derive the Neyman
Saswat Misra, Lang Tong
79
Voted
EMNLP
2007
15 years 1 months ago
A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors
This paper compares a deep and a shallow processing approach to the problem of classifying a sentence as grammatically wellformed or ill-formed. The deep processing approach uses ...
Joachim Wagner, Jennifer Foster, Josef van Genabit...
LREC
2008
126views Education» more  LREC 2008»
15 years 1 months ago
Tree Distance and Some Other Variants of Evalb
Some alternatives to the standard evalb measures for parser evaluation are considered, principally the use of a tree-distance measure, which assigns a score to a linearity and anc...
Martin Emms
106
Voted
ACL
2012
13 years 2 months ago
Estimating Compact Yet Rich Tree Insertion Grammars
We present a Bayesian nonparametric model for estimating tree insertion grammars (TIG), building upon recent work in Bayesian inference of tree substitution grammars (TSG) via Dir...
Elif Yamangil, Stuart M. Shieber