Building Chinese Lexicons from Scratch by Unsupervised Short Document Self-Segmentation
Chinese text segmentation is a well-known and difficult problem. On one side, there is not a simple notion of "word"
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Chinese text segmentation is a well-known and difficult problem. On one side, there is not a simple notion of "word"
Searle's Chinese Room argument is refuted by showing that he has actually given two different versions of the room, which
A new scheme for transmitting sensitive data is proposed, the proposed scheme depends on partitioning the output of a block
In this brief article I review the history of astronomical photometry, touching on observations made by the ancient Chinese, Hipparchus
k is the most important parameter in a text categorization system based on k-Nearest Neighbor algorithm (kNN).In the classification process,
Recently the Chinese Academy of Sciences has chosen BEPCII as the future development of the BEPC, i.e. upgrade of both
This article presents an implementation of a graphical software with various algorithms in Operations research, like minimum path, minimum tree,
We propose an algorithm of generating hard instances for the Satisfying Assignment Search Problem (in short, SAT). The algorithm transforms
Given the lack of word delimiters in written Japanese, word segmentation is generally considered a crucial first step in processing
This paper presents a novel method that allows a machine learning algorithm following the transformation-based learning paradigm \cite{brill95:tagging} to be
Following the logic of the great Chinese warrior-philosopher Master Sun Tzu, "The rules of the military are five: measurement, assessment,
Lattice QCD is the most reliable non-perturbative method in quantum field theory. In the last few years, some problems crucial
In this paper a simple model is proposed to decribe the spontaneous formation of coalitions among a group of actors
Our goal is to distinguish between the following two hypotheses: (A) The Internet will remain disproportionately in English and will,