Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue
  System   Information-seeking dialogue systems, including knowledge identification and
response generation, aim to respond to users with fluent, coherent, and
informative responses based on users' needs, which. To tackle this challenge,
we utilize data augmentation methods and several training techniques with the
pre-trained language models to learn a general pattern of the task and thus
achieve promising performance. In DialDoc21 competition, our system achieved
74.95 F1 score and 60.74 Exact Match score in subtask 1, and 37.72 SacreBLEU
score in subtask 2. Empirical analysis is provided to explain the effectiveness
of our approaches.

17
The categories of this paper are: q-fin
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
10
The categories of this paper are: q-bio