  We present CAVaT, a tool that performs Corpus Analysis and Validation for
TimeML. CAVaT is an open source, modular checking utility for statistical
analysis of features specific to temporally-annotated natural language corpora.
It provides reporting, highlights salient links between a variety of general
and time-specific linguistic features, and also validates a temporal annotation
to ensure that it is logically consistent and sufficiently annotated. Uniquely,
CAVaT provides analysis specific to TimeML-annotated temporal information.
TimeML is a standard for annotating temporal information in natural language
text. In this paper, we present the reporting part of CAVaT, and then its
error-checking ability, including the workings of several novel TimeML document
verification methods. This is followed by the execution of some example tasks
using the tool to show relations between times, events, signals and links. We
also demonstrate inconsistencies in a TimeML corpus (TimeBank) that have been
detected with CAVaT.
