Hierarchical Context Tagging for Utterance Rewriting

Data driven methods for utterance semantic tagging

The proliferation of mobile devices, along with advances in speech and natural language processing technologies, have given birth to a new wave of personal assistance applications that enable users to quickly and more naturally perform many tasks through voice on their smart devices. This paper focuses on a natural language understanding (NLU) solution for one such application. We adopted a dat...

Context-sensitive Utterance Planning for CCG

The paper presents an approach to utterance planning, which can dynamically use context information about the environment in which a dialogue is situated. The approach is functional in nature, using systemic networks to specify its planning grammar. The planner takes a description of a communicative goal as input, and produces one or more logical forms that can express that goal in a contextual...

Towards Context-adaptive Utterance Interpretation

Using Context-Sensitive Rewriting for Proving Innermost Termination of Rewriting

Computational systems based on reducing expressions usually have a predefined reduction strategy to break down the nondeterminism which is inherent to reduction relations. The innermost strategy corresponds to call by value or eager computation, that is, the computational mechanism of several programming languages like Maude, OBJ, etc. where the arguments of a function call are always evaluated...

Lazy Rewriting and Context-Sensitive Rewriting

Lazy rewriting (LR) is intended to improve the termination behavior of TRSs. This is attempted by restricting reductions for selected arguments of functions. Similarly, context-sensitive rewriting (CSR) forbids any reduction on those arguments. We show that, under certain conditions, LR and CSR coincide. On the basis of this result, we also describe a transformation which permits proving termin...