WIRE: a wearable spoken language understanding system for the military

Helen Hastie; Patrick Craven; Michael Orr

WIRE: a wearable spoken language understanding system for the military

Helen Hastie, Patrick Craven, Michael Orr

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we present the WIRE system for human intelligence reporting and discuss challenges of deploying spoken language understanding systems for the military, particularly for dismounted warfighters. Using the PARADISE evaluation paradigm, we show that performance models derived using standard metrics can account for 68% of the variance of User Satisfaction. We discuss the implication of these results and how the evaluation paradigm may be modified for the military domain.

Original language	English
Title of host publication	Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies
Publisher	Association for Computational Linguistics
Pages	84-88
Number of pages	5
Publication status	Published - 26 Apr 2007
Event	Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007) - Rochester, United States Duration: 22 Apr 2007 → 27 Apr 2007 https://www.cs.rochester.edu/meetings/hlt-naacl07/

Conference

Conference	Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007)
Abbreviated title	NAACL-HLT 2007
Country/Territory	United States
City	Rochester
Period	22/04/07 → 27/04/07
Internet address	https://www.cs.rochester.edu/meetings/hlt-naacl07/

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title = "WIRE: a wearable spoken language understanding system for the military",

abstract = "In this paper, we present the WIRE system for human intelligence reporting and discuss challenges of deploying spoken language understanding systems for the military, particularly for dismounted warfighters. Using the PARADISE evaluation paradigm, we show that performance models derived using standard metrics can account for 68% of the variance of User Satisfaction. We discuss the implication of these results and how the evaluation paradigm may be modified for the military domain.",

author = "Helen Hastie and Patrick Craven and Michael Orr",

year = "2007",

month = apr,

day = "26",

language = "English",

pages = "84--88",

booktitle = "Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies",

publisher = "Association for Computational Linguistics",

note = "Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007), NAACL-HLT 2007 ; Conference date: 22-04-2007 Through 27-04-2007",

url = "https://www.cs.rochester.edu/meetings/hlt-naacl07/",

}

Hastie, H, Craven, P & Orr, M 2007, WIRE: a wearable spoken language understanding system for the military. in Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies. Association for Computational Linguistics, pp. 84-88, Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007), Rochester, New York, United States, 22/04/07. <https://aclanthology.org/W07-0312/>

WIRE: a wearable spoken language understanding system for the military. / Hastie, Helen; Craven, Patrick; Orr, Michael.
Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies. Association for Computational Linguistics, 2007. p. 84-88.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Hastie, Helen

AU - Craven, Patrick

AU - Orr, Michael

PY - 2007/4/26

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N2 - In this paper, we present the WIRE system for human intelligence reporting and discuss challenges of deploying spoken language understanding systems for the military, particularly for dismounted warfighters. Using the PARADISE evaluation paradigm, we show that performance models derived using standard metrics can account for 68% of the variance of User Satisfaction. We discuss the implication of these results and how the evaluation paradigm may be modified for the military domain.

AB - In this paper, we present the WIRE system for human intelligence reporting and discuss challenges of deploying spoken language understanding systems for the military, particularly for dismounted warfighters. Using the PARADISE evaluation paradigm, we show that performance models derived using standard metrics can account for 68% of the variance of User Satisfaction. We discuss the implication of these results and how the evaluation paradigm may be modified for the military domain.

M3 - Conference contribution

SP - 84

EP - 88

BT - Proceedings of the Workshop on Bridging the Gap: Academic and Industrial Research in Dialog Technologies

PB - Association for Computational Linguistics

T2 - Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2007)

Y2 - 22 April 2007 through 27 April 2007

ER -

WIRE: a wearable spoken language understanding system for the military

Abstract

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