Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Profitable Trade-Off Between Memory and Performance In Multi-Domain
  Chatbot Architectures   Text classification problem is a very broad field of study in the field of
natural language processing. In short, the text classification problem is to
determine which of the previously determined classes the given text belongs to.
Successful studies have been carried out in this field in the past studies. In
the study, Bidirectional Encoder Representations for Transformers (BERT), which
is a frequently preferred method for solving the classification problem in the
field of natural language processing, is used. By solving classification
problems through a single model to be used in a chatbot architecture, it is
aimed to alleviate the load on the server that will be created by more than one
model used for solving more than one classification problem. At this point,
with the masking method applied during the estimation of a single BERT model,
which was created for classification in more than one subject, the estimation
of the model was provided on a problem-based basis. Three separate data sets
covering different fields from each other are divided by various methods in
order to complicate the problem, and classification problems that are very
close to each other in terms of field are also included in this way. The
dataset used in this way consists of five classification problems with 154
classes. A BERT model containing all classification problems and other BERT
models trained specifically for the problems were compared with each other in
terms of performance and the space they occupied on the server.

12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc