We present Spider, a large-scale, complex and cross-domain semantic parsing and text-to-
SQL dataset annotated by 11 college students. It consists of 10,181 questions and 5,693 …

It is widely accepted that information derived from analyzing speech (the acoustic signal)
and language production (words and sentences) serves as a useful window into the health …

Numerous important events happen everyday and everywhere but are reported in different
media sources with different narrative styles. How to detect whether real-world events have …

Interacting with relational databases through natural language helps users of any
background easily query and analyze a vast amount of data. This requires a system that …

We present a novel document-level model for finding argument spans that fill an event's
roles, connecting related ideas in sentence-level semantic role labeling and coreference …

We propose a novel data augmentation approach to enhance computational behavioral
analysis using social media text. In particular, we collect a Twitter corpus of the descriptions …

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 …

Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet
lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model …

While recent years have seen a surge of interest in automated essay grading, including work
on grading essays with respect to particular dimensions such as prompt adherence …

Texts with potential educational value are becoming available through the Internet (eg,
Wikipedia, news services). However, using these new tests in classrooms introduces many …