Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions
  of Annotators' Labels   We introduce a data set called DCH-2, which contains 4,390 real
customer-helpdesk dialogues in Chinese and their English translations. DCH-2
also contains dialogue-level annotations and turn-level annotations obtained
independently from either 19 or 20 annotators. The data set was built through
our effort as organisers of the NTCIR-14 Short Text Conversation and NTCIR-15
Dialogue Evaluation tasks, to help researchers understand what constitutes an
effective customer-helpdesk dialogue, and thereby build efficient and helpful
helpdesk systems that are available to customers at all times. In addition,
DCH-2 may be utilised for other purposes, for example, as a repository for
retrieval-based dialogue systems, or as a parallel corpus for machine
translation in the helpdesk domain.

34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph