The ability to extrapolate, ie, to make predictions on sequences that are longer than those
presented as training examples, is a challenging problem for current deep learning models …

Data workers usually seek to understand the semantics of data wrangling scripts in various
scenarios, such as code debugging, reusing, and maintaining. However, the understanding …

Often both an utterance and its context must be read to understand its intent in a dialog.
Herein we propose a task, Self-Contained Utterance Description (SCUD), to describe the …

A system, method, and computer program product for implementing cognitive natural
language processing software framework optimization is provided. The method includes …

Traditional dialog state tracking is often formulated as a classification problem, where the
dialog state is predicted as a distribution over a closed set of possible slot values within an …