Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix
  Capture   In this paper, we approach Vietnamese word segmentation as a binary
classification by using the Support Vector Machine classifier. We inherit
features from prior works such as n-gram of syllables, n-gram of syllable
types, and checking conjunction of adjacent syllables in the dictionary. We
propose two novel ways to feature extraction, one to reduce the overlap
ambiguity and the other to increase the ability to predict unknown words
containing suffixes. Different from UETsegmenter and RDRsegmenter, two
state-of-the-art Vietnamese word segmentation methods, we do not employ the
longest matching algorithm as an initial processing step or any post-processing
technique. According to experimental results on benchmark Vietnamese datasets,
our proposed method obtained a better F1-score than the prior state-of-the-art
methods UETsegmenter, and RDRsegmenter.

2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat