Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Siamese Networks for Semantic Pattern Similarity   Semantic Pattern Similarity is an interesting, though not often encountered
NLP task where two sentences are compared not by their specific meaning, but by
their more abstract semantic pattern (e.g., preposition or frame). We utilize
Siamese Networks to model this task, and show its usefulness in determining SQL
patterns for unseen questions in a database-backed question answering scenario.
Our approach achieves high accuracy and contains a built-in proxy for
confidence, which can be used to keep precision arbitrarily high.

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The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg