Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Zero-shot Generalization in Dialog State Tracking through Generative
  Question Answering   Dialog State Tracking (DST), an integral part of modern dialog systems, aims
to track user preferences and constraints (slots) in task-oriented dialogs. In
real-world settings with constantly changing services, DST systems must
generalize to new domains and unseen slot types. Existing methods for DST do
not generalize well to new slot names and many require known ontologies of slot
types and values for inference. We introduce a novel ontology-free framework
that supports natural language queries for unseen constraints and slots in
multi-domain task-oriented dialogs. Our approach is based on generative
question-answering using a conditional language model pre-trained on
substantive English sentences. Our model improves joint goal accuracy in
zero-shot domain adaptation settings by up to 9% (absolute) over the previous
state-of-the-art on the MultiWOZ 2.1 dataset.

18
The categories of this paper are: econ
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys