Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ValueNet: A Natural Language-to-SQL System that Learns from Database
  Information   Building natural language (NL) interfaces for databases has been a
long-standing challenge for several decades. The major advantage of these
so-called NL-to-SQL systems is that end-users can query complex databases
without the need to know SQL or the underlying database schema. Due to
significant advancements in machine learning, the recent focus of research has
been on neural networks to tackle this challenge on complex datasets like
Spider. Several recent NL-to-SQL systems achieve promising results on this
dataset. However, none of the published systems, that provide either the source
code or executable binaries, extract and incorporate values from the user
questions for generating SQL statements. Thus, the practical use of these
systems in a real-world scenario has not been sufficiently demonstrated yet.
  In this paper we propose ValueNet light and ValueNet -- two end-to-end
NL-to-SQL systems that incorporate values using the challenging Spider dataset.
The main idea of our approach is to use not only metadata information from the
underlying database but also information on the base data as input for our
neural network architecture. In particular, we propose a novel architecture
sketch to extract values from a user question and come up with possible value
candidates which are not explicitly mentioned in the question. We then use a
neural model based on an encoder-decoder architecture to synthesize the SQL
query. Finally, we evaluate our model on the Spider challenge using the
Execution Accuracy metric, a more difficult metric than used by most
participants of the challenge. Our experimental evaluation demonstrates that
ValueNet light and ValueNet reach state-of-the-art results of 67% and 62%
accuracy, respectively, for translating from NL to SQL whilst incorporating
values.

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The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
34
The categories of this paper are: chem-ph
3
The categories of this paper are: physics
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio