Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Empirical Study of Cross-Lingual Transferability in Generative
  Dialogue State Tracker   There has been a rapid development in data-driven task-oriented dialogue
systems with the benefit of large-scale datasets. However, the progress of
dialogue systems in low-resource languages lags far behind due to the lack of
high-quality data. To advance the cross-lingual technology in building dialog
systems, DSTC9 introduces the task of cross-lingual dialog state tracking,
where we test the DST module in a low-resource language given the rich-resource
training dataset.
  This paper studies the transferability of a cross-lingual generative dialogue
state tracking system using a multilingual pre-trained seq2seq model. We
experiment under different settings, including joint-training or pre-training
on cross-lingual and cross-ontology datasets. We also find out the low
cross-lingual transferability of our approaches and provides investigation and
discussion.

29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
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
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc