Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
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 …
SQL dataset annotated by 11 college students. It consists of 10,181 questions and 5,693 …
A review of automated speech and language features for assessment of cognitive and thought disorders
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 …
and language production (words and sentences) serves as a useful window into the health …
A survey of event extraction from text
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 …
media sources with different narrative styles. How to detect whether real-world events have …
Typesql: Knowledge-based type-aware neural text-to-sql generation
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 …
background easily query and analyze a vast amount of data. This requires a system that …
[PDF][PDF] That's so annoying!!!: A lexical and frame-semantic embedding based data augmentation approach to automatic categorization of annoying behaviors using# …
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 …
analysis using social media text. In particular, we collect a Twitter corpus of the descriptions …
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 …
with multiple clauses or sub-queries, and generalizing to new, unseen databases. In this …
Multi-sentence argument linking
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 …
roles, connecting related ideas in sentence-level semantic role labeling and coreference …
Frame-semantic parsing
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 …
lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model …
Automatic factual question generation from text
M Heilman - 2011 - search.proquest.com
Texts with potential educational value are becoming available through the Internet (eg,
Wikipedia, news services). However, using these new tests in classrooms introduces many …
Wikipedia, news services). However, using these new tests in classrooms introduces many …
[PDF][PDF] Modeling argument strength in student essays
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 …
on grading essays with respect to particular dimensions such as prompt adherence …