Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Music Playlist Title Generation: A Machine-Translation Approach   We propose a machine-translation approach to automatically generate a
playlist title from a set of music tracks. We take a sequence of track IDs as
input and a sequence of words in a playlist title as output, adapting the
sequence-to-sequence framework based on Recurrent Neural Network (RNN) and
Transformer to the music data. Considering the orderless nature of music tracks
in a playlist, we propose two techniques that remove the order of the input
sequence. One is data augmentation by shuffling and the other is deleting the
positional encoding. We also reorganize the existing music playlist datasets to
generate phrase-level playlist titles. The result shows that the Transformer
models generally outperform the RNN model. Also, removing the order of input
sequence improves the performance further.

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The categories of this paper are: dg-ga
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The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
32
The categories of this paper are: atom-ph
3
The categories of this paper are: physics
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The categories of this paper are: comp-gas
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The categories of this paper are: chao-dyn
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The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
37
The categories of this paper are: supr-con