Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Audrey: A Personalized Open-Domain Conversational Bot   Conversational Intelligence requires that a person engage on informational,
personal and relational levels. Advances in Natural Language Understanding have
helped recent chatbots succeed at dialog on the informational level. However,
current techniques still lag for conversing with humans on a personal level and
fully relating to them. The University of Michigan's submission to the Alexa
Prize Grand Challenge 3, Audrey, is an open-domain conversational chat-bot that
aims to engage customers on these levels through interest driven conversations
guided by customers' personalities and emotions. Audrey is built from
socially-aware models such as Emotion Detection and a Personal Understanding
Module to grasp a deeper understanding of users' interests and desires. Our
architecture interacts with customers using a hybrid approach balanced between
knowledge-driven response generators and context-driven neural response
generators to cater to all three levels of conversations. During the
semi-finals period, we achieved an average cumulative rating of 3.25 on a 1-5
Likert scale.

19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas