Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A New Clustering neural network for Chinese word segmentation   In this article I proposed a new model to achieve Chinese word
segmentation(CWS),which may have the potentiality to apply in other domains in
the future.It is a new thinking in CWS compared to previous works,to consider
it as a clustering problem instead of a labeling problem.In this model,LSTM and
self attention structures are used to collect context also sentence level
features in every layer,and after several layers,a clustering model is applied
to split characters into groups,which are the final segmentation results.I call
this model CLNN.This algorithm can reach 98 percent of F score (without OOV
words) and 85 percent to 95 percent F score (with OOV words) in training data
sets.Error analyses shows that OOV words will greatly reduce performances,which
needs a deeper research in the future.

13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
22
The categories of this paper are: chao-dyn
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
17
The categories of this paper are: q-fin