Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Improved Deep Learning Baselines for Ubuntu Corpus Dialogs   This paper presents results of our experiments for the next utterance ranking
on the Ubuntu Dialog Corpus -- the largest publicly available multi-turn dialog
corpus. First, we use an in-house implementation of previously reported models
to do an independent evaluation using the same data. Second, we evaluate the
performances of various LSTMs, Bi-LSTMs and CNNs on the dataset. Third, we
create an ensemble by averaging predictions of multiple models. The ensemble
further improves the performance and it achieves a state-of-the-art result for
the next utterance ranking on this dataset. Finally, we discuss our future
plans using this corpus.

31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
21
The categories of this paper are: adap-org
25
The categories of this paper are: patt-sol