Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: SParC: Cross-Domain Semantic Parsing in Context   We present SParC, a dataset for cross-domainSemanticParsing inContext that
consists of 4,298 coherent question sequences (12k+ individual questions
annotated with SQL queries). It is obtained from controlled user interactions
with 200 complex databases over 138 domains. We provide an in-depth analysis of
SParC and show that it introduces new challenges compared to existing datasets.
SParC demonstrates complex contextual dependencies, (2) has greater semantic
diversity, and (3) requires generalization to unseen domains due to its
cross-domain nature and the unseen databases at test time. We experiment with
two state-of-the-art text-to-SQL models adapted to the context-dependent,
cross-domain setup. The best model obtains an exact match accuracy of 20.2%
over all questions and less than10% over all interaction sequences, indicating
that the cross-domain setting and the con-textual phenomena of the dataset
present significant challenges for future research. The dataset, baselines, and
leaderboard are released at https://yale-lily.github.io/sparc.

37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex