Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Discovering New Intents via Constrained Deep Adaptive Clustering with
  Cluster Refinement   Identifying new user intents is an essential task in the dialogue system.
However, it is hard to get satisfying clustering results since the definition
of intents is strongly guided by prior knowledge. Existing methods incorporate
prior knowledge by intensive feature engineering, which not only leads to
overfitting but also makes it sensitive to the number of clusters. In this
paper, we propose constrained deep adaptive clustering with cluster refinement
(CDAC+), an end-to-end clustering method that can naturally incorporate
pairwise constraints as prior knowledge to guide the clustering process.
Moreover, we refine the clusters by forcing the model to learn from the high
confidence assignments. After eliminating low confidence assignments, our
approach is surprisingly insensitive to the number of clusters. Experimental
results on the three benchmark datasets show that our method can yield
significant improvements over strong baselines.

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The categories of this paper are: physics
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
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The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
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The categories of this paper are: eess
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The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
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The categories of this paper are: math