Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SyntaxSQLNet: Syntax Tree Networks for Complex and
  Cross-DomainText-to-SQL Task   Most existing studies in text-to-SQL tasks do not require generating complex
SQL queries with multiple clauses or sub-queries, and generalizing to new,
unseen databases. In this paper we propose SyntaxSQLNet, a syntax tree network
to address the complex and cross-domain text-to-SQL generation task.
SyntaxSQLNet employs a SQL specific syntax tree-based decoder with SQL
generation path history and table-aware column attention encoders. We evaluate
SyntaxSQLNet on the Spider text-to-SQL task, which contains databases with
multiple tables and complex SQL queries with multiple SQL clauses and nested
queries. We use a database split setting where databases in the test set are
unseen during training. Experimental results show that SyntaxSQLNet can handle
a significantly greater number of complex SQL examples than prior work,
outperforming the previous state-of-the-art model by 7.3% in exact matching
accuracy. We also show that SyntaxSQLNet can further improve the performance by
an additional 7.5% using a cross-domain augmentation method, resulting in a
14.8% improvement in total. To our knowledge, we are the first to study this
complex and cross-domain text-to-SQL task.

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The categories of this paper are: alg-geom
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The categories of this paper are: math-ph
16
The categories of this paper are: stat
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The categories of this paper are: supr-con
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The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
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The categories of this paper are: mtrl-th
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The categories of this paper are: q-alg
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The categories of this paper are: comp-gas
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The categories of this paper are: nlin
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The categories of this paper are: eess
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The categories of this paper are: physics
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-ex
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The categories of this paper are: gr-qc
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The categories of this paper are: adap-org