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Sixth International Conference on Spoken Language Processing (ICSLP 2000)
Beijing, China
October 16-20, 2000 |
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Improved Speech Understanding Using Dialogue Expectation in Sentence Parsing
Sherif Abdou, Michael Scordilis
Department of Electrical and Computer Engineering, University of Miami,
Coral Gables, FL, USA
In dialogue systems, speech recognition errors force the user to
repeat information resulting in more turns, lower dialogue
efficiency and maybe complete failure. Higher level information
such as history, expectation, discourse knowledge and pragmatics
can improve performance but are hard to quantify and effectively
include in the recognition process. In this paper, dialogue
expectation is used to improve recognition. By permitting the
dialogue manager to guide the interaction it is possible to track the
dialogue state and thus estimate the expected semantic content of
the user’s response. The parser is allowed to process a large
number of sentences provided by the decoder. Expectation is used
as an effective criterion for selecting among competing hypotheses.
This approach was tested with a simple flight reservation task and
results show improvement in concept recognition without adding
significant computation.
Full Paper
Bibliographic reference.
Abdou, Sherif / Scordilis, Michael (2000):
"Improved speech understanding using dialogue expectation in sentence parsing",
In ICSLP-2000, vol.1, 102-105.