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» Automatic Prediction of Parser Accuracy
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ACL
2010
13 years 4 months ago
Complexity Metrics in an Incremental Right-Corner Parser
Hierarchical HMM (HHMM) parsers make promising cognitive models: while they use a bounded model of working memory and pursue incremental hypotheses in parallel, they still achieve...
Stephen Wu, Asaf Bachrach, Carlos Cardenas, Willia...
ACL
2006
13 years 7 months ago
The Benefit of Stochastic PP Attachment to a Rule-Based Parser
To study PP attachment disambiguation as a benchmark for empirical methods in natural language processing it has often been reduced to a binary decision problem (between verb or n...
Kilian A. Foth, Wolfgang Menzel
ACL
2009
13 years 3 months ago
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
Gregory Druck, Gideon S. Mann, Andrew McCallum
BMCBI
2010
105views more  BMCBI 2010»
13 years 6 months ago
A knowledge-guided strategy for improving the accuracy of scoring functions in binding affinity prediction
Background: Current scoring functions are not very successful in protein-ligand binding affinity prediction albeit their popularity in structure-based drug designs. Here, we propo...
Tiejun Cheng, Zhihai Liu, Renxiao Wang
COLING
2010
13 years 29 days ago
Morphological Analysis Can Improve a CCG Parser for English
Because English is a low morphology language, current statistical parsers tend to ignore morphology and accept some level of redundancy. This paper investigates how costly such re...
Matthew Honnibal, Jonathan K. Kummerfeld, James R....