In this paper we present a supervised Word Sense Disambiguation methodology, that exploits kernel methods to model sense distinctions. In particular a combination of kernel functions is adopted to estimate independently both syntagmatic and domain similarity. We deﬁned a kernel function, namely the Domain Kernel, that allowed us to plug “external knowledge” into the supervised learning process.
We extend previous work on tree kernels to estimate the similarity between the dependency trees of sentences. Using this kernel within a Support Vector Machine, we detect and classify relations between entities in the Automatic Content Extraction (ACE) corpus of news articles. We examine the utility of different features such as Wordnet hypernyms, parts of speech, and entity types, and ﬁnd that the dependency tree kernel achieves a 20% F1 improvement over a “bag-of-words” kernel.
Mekong Delta rice area's largest with about 3.8 million ha. Of these, winter-spring rice crop was planted 1.5 million hectares, 1.6 million ha of summer-collection, case 3 is 0.5 million ha and 0.25 million ha of winter rice. Rice production in 2008 the entire area is 20.6 million tons in 2009 is estimated at 21 million tons. Supply 90% of the Mekong Delta rice exports contributed greatly to Vietnam in the list of "powers" rice. But this is the loss rate of the highest harvest.
Let Γ be a principal congruence subgroup of SLn (Z) and let σ be an Γ irreducible unitary representation of SO(n). Let Ncus (λ, σ) be the counting function of the eigenvalues of the Casimir operator acting in the space of cusp forms for Γ which transform under SO(n) according to σ. In this paper we Γ prove that the counting function Ncus (λ, σ) satisﬁes Weyl’s law. Especially, this implies that there exist inﬁnitely many cusp forms for the full modular group SLn (Z). Contents 1. Preliminaries 2. Heat kernel estimates 3. Estimations of the discrete spectrum 4....
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Research Article Analytical Plug-In Method for Kernel Density Estimator Applied to Genetic Neutrality Study
As science, ecology is often accused of being weak because of its basic lack of
predictive power (Peters 1991) and the many ecological concepts judged vague
or tautological (Shrader-Frechette and McCoy 1993). Also, important paradigms
that dominated the ecological scene for years have been discarded in
favor of new concepts and theories that swamp the most recent ecological
literature (e.g., the abandoning of the island biogeography theory in favor of
the metapopulations theory; Hanski and Simberloff 1997).
Introduction The purpose of this paper is to prove optimal estimates for solutions of the Kohn-Laplacian for certain classes of model domains in several complex variables. This will be achieved by applying a type of singular integral operator whose novel features (related to product theory and ﬂag kernels) diﬀer essentially from the