Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: HIE-SQL: History Information Enhanced Network for Context-Dependent
  Text-to-SQL Semantic Parsing   Recently, context-dependent text-to-SQL semantic parsing which translates
natural language into SQL in an interaction process has attracted a lot of
attention. Previous works leverage context-dependence information either from
interaction history utterances or the previous predicted SQL queries but fail
in taking advantage of both since of the mismatch between natural language and
logic-form SQL. In this work, we propose a History Information Enhanced
text-to-SQL model (HIE-SQL) to exploit context-dependence information from both
history utterances and the last predicted SQL query. In view of the mismatch,
we treat natural language and SQL as two modalities and propose a bimodal
pre-trained model to bridge the gap between them. Besides, we design a
schema-linking graph to enhance connections from utterances and the SQL query
to the database schema. We show our history information enhanced methods
improve the performance of HIE-SQL by a significant margin, which achieves new
state-of-the-art results on the two context-dependent text-to-SQL benchmarks,
the SparC and CoSQL datasets, at the writing time.

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The categories of this paper are: econ
24
The categories of this paper are: dg-ga
31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: stat
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The categories of this paper are: q-alg
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The categories of this paper are: hep-ex
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The categories of this paper are: math
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The categories of this paper are: patt-sol
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The categories of this paper are: mtrl-th
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The categories of this paper are: nucl-ex