Much of the previous work towards digital agents for graphical user
inte...
Formulating selective information needs results in queries that implicit...
A common recent approach to semantic parsing augments sequence-to-sequen...
Despite their strong performance on many tasks, pre-trained language mod...
We describe a workflow used to analyze the source code of the Android OS...
Generic unstructured neural networks have been shown to struggle on
out-...
Neural network models often generalize poorly to mismatched domains or
d...
It's regarded as an axiom that a good model is one that compromises betw...
We investigate ways to compose complex concepts in texts from primitive ...
We analyze the grounded SCAN (gSCAN) benchmark, which was recently propo...
The dominant paradigm for semantic parsing in recent years is to formula...
Sequence-to-sequence models excel at handling natural language variation...
Precision medicine is becoming a focus in medical research recently, as ...
We present a novel approach to answering sequential questions based on
s...
Structured information about entities is critical for many semantic pars...
In the Cluster Editing problem, a given graph is to be transformed into ...
Relying entirely on an attention mechanism, the Transformer introduced b...