Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mention Extraction and Linking for SQL Query Generation   On the WikiSQL benchmark, state-of-the-art text-to-SQL systems typically take
a slot-filling approach by building several dedicated models for each type of
slots. Such modularized systems are not only complex butalso of limited
capacity for capturing inter-dependencies among SQL clauses. To solve these
problems, this paper proposes a novel extraction-linking approach, where a
unified extractor recognizes all types of slot mentions appearing in the
question sentence before a linker maps the recognized columns to the table
schema to generate executable SQL queries. Trained with automatically generated
annotations, the proposed method achieves the first place on the WikiSQL
benchmark.

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The categories of this paper are: plasm-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: patt-sol
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-lat
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The categories of this paper are: nucl-th
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The categories of this paper are: q-bio
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The categories of this paper are: comp-gas
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The categories of this paper are: math
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The categories of this paper are: gr-qc
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-ph
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The categories of this paper are: econ
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The categories of this paper are: physics