Improved speech understanding using dialogue expectation in sentence parsing

Sherif Abdou, Michael S Scordilis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publication6th International Conference on Spoken Language Processing, ICSLP 2000
PublisherInternational Speech Communication Association
ISBN (Electronic)7801501144, 9787801501141
StatePublished - 2000
Event6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
Duration: Oct 16 2000Oct 20 2000

Other

Other6th International Conference on Spoken Language Processing, ICSLP 2000
CountryChina
CityBeijing
Period10/16/0010/20/00

Fingerprint

dialogue
flight
communication technology
pragmatics
semantics
manager
efficiency
Sentence Parsing
discourse
history
interaction
performance

ASJC Scopus subject areas

  • Linguistics and Language
  • Language and Linguistics

Cite this

Abdou, S., & Scordilis, M. S. (2000). Improved speech understanding using dialogue expectation in sentence parsing. In 6th International Conference on Spoken Language Processing, ICSLP 2000 International Speech Communication Association.

Improved speech understanding using dialogue expectation in sentence parsing. / Abdou, Sherif; Scordilis, Michael S.

6th International Conference on Spoken Language Processing, ICSLP 2000. International Speech Communication Association, 2000.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abdou, S & Scordilis, MS 2000, Improved speech understanding using dialogue expectation in sentence parsing. in 6th International Conference on Spoken Language Processing, ICSLP 2000. International Speech Communication Association, 6th International Conference on Spoken Language Processing, ICSLP 2000, Beijing, China, 10/16/00.
Abdou S, Scordilis MS. Improved speech understanding using dialogue expectation in sentence parsing. In 6th International Conference on Spoken Language Processing, ICSLP 2000. International Speech Communication Association. 2000
Abdou, Sherif ; Scordilis, Michael S. / Improved speech understanding using dialogue expectation in sentence parsing. 6th International Conference on Spoken Language Processing, ICSLP 2000. International Speech Communication Association, 2000.
@inproceedings{739e233a43674ccc81d3d0a8387415a7,
title = "Improved speech understanding using dialogue expectation in sentence parsing",
abstract = "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.",
author = "Sherif Abdou and Scordilis, {Michael S}",
year = "2000",
language = "English (US)",
booktitle = "6th International Conference on Spoken Language Processing, ICSLP 2000",
publisher = "International Speech Communication Association",

}

TY - GEN

T1 - Improved speech understanding using dialogue expectation in sentence parsing

AU - Abdou, Sherif

AU - Scordilis, Michael S

PY - 2000

Y1 - 2000

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85009083939&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009083939&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85009083939

BT - 6th International Conference on Spoken Language Processing, ICSLP 2000

PB - International Speech Communication Association

ER -