Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint
  Embedding for Chinese Character Variation Representation   The task of Chinese text spam detection is very challenging due to both glyph
and phonetic variations of Chinese characters. This paper proposes a novel
framework to jointly model Chinese variational, semantic, and contextualized
representations for Chinese text spam detection task. In particular, a
Variation Family-enhanced Graph Embedding (VFGE) algorithm is designed based on
a Chinese character variation graph. The VFGE can learn both the graph
embeddings of the Chinese characters (local) and the latent variation families
(global). Furthermore, an enhanced bidirectional language model, with a
combination gate function and an aggregation learning function, is proposed to
integrate the graph and text information while capturing the sequential
information. Extensive experiments have been conducted on both SMS and review
datasets, to show the proposed method outperforms a series of state-of-the-art
models for Chinese spam detection.

8
The categories of this paper are: hep-ex
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
2
The categories of this paper are: math
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg