My paper related to SLU was accepted in ACL 2015. Its abstract is as follows:
The intelligent personal
assistant software such as the Apple’s
Siri and Samsung’s S-Voice has been
issued these days. This paper introduces a novel Spoken Language Understanding
(SLU) module to predict user’s intention for determining system actions of the
intelligent personal assistant software. The SLU module usually consists of several
connected recognition tasks on a pipeline framework. The proposed SLU module
has four recognition tasks including named entity, speech-act, target and operation
recognition, and it is developed to simultaneously recognize the four tasks on
a recognition framework using Conditional Random Fields (CRF). In the experiments,
the new simultaneous recognition method achieves the higher performance of 4%
and faster speed of about 25% than other method using pipeline. By a
significance test, this improvement is
considered to be statistically significant as a p-value of smaller than 0.05.
ACL 2015 will be held in Beijing, China, July 26-31, 2015. I will post the camera-ready version of my paper when it is ready to be published.
