Comparing Listener Gaze with Predictions of an Incremental Reference Resolution Model

Casey Kennington; David Schlangen

Comparing Listener Gaze with Predictions of an Incremental Reference Resolution Model

Bielefeld University

Research output: Contribution to conference › Presentation

Abstract

In situated dialogue, listeners resolve referring expressions incrementally and their gaze often attends to the described objects in the context. We have looked at how listener gaze compares to a statistical reference resolution model that works incrementally. We found that listeners gaze at referred objects even before a referring expression begins, suggesting that salience and prior information is important in reference resolution models.

Original language	American English
State	Published - Aug 2014
Externally published	Yes
Event	RefNet Workshop on Computational and Psychological Models of Reference Comprehension and Production - Edinburgh, Scotland Duration: 1 Aug 2014 → …

Conference

Conference	RefNet Workshop on Computational and Psychological Models of Reference Comprehension and Production
Period	1/08/14 → …

EGS Disciplines

Computer Sciences

Cite this

@conference{3bcfcb8408e64922b2ba4f0626643c51,

title = "Comparing Listener Gaze with Predictions of an Incremental Reference Resolution Model",

abstract = " In situated dialogue, listeners resolve referring expressions incrementally and their gaze often attends to the described objects in the context. We have looked at how listener gaze compares to a statistical reference resolution model that works incrementally. We found that listeners gaze at referred objects even before a referring expression begins, suggesting that salience and prior information is important in reference resolution models.",

author = "Casey Kennington and David Schlangen",

note = "Kennington C, Schlangen D. Comparing Listener Gaze with Predictions of an Incremental Reference Resolution Model. Presented at the REFNET Workshop on Computational and Psychological Models of Reference Comprehension and Production, Edinburgh. Kennington, C., & Schlangen, D. (2014). Comparing Listener Gaze with Predictions of an Incremental Reference Resolution Model.; RefNet Workshop on Computational and Psychological Models of Reference Comprehension and Production ; Conference date: 01-08-2014",

year = "2014",

month = aug,

language = "American English",

}

TY - CONF

T1 - Comparing Listener Gaze with Predictions of an Incremental Reference Resolution Model

AU - Kennington, Casey

AU - Schlangen, David

N1 - Kennington C, Schlangen D. Comparing Listener Gaze with Predictions of an Incremental Reference Resolution Model. Presented at the REFNET Workshop on Computational and Psychological Models of Reference Comprehension and Production, Edinburgh. Kennington, C., & Schlangen, D. (2014). Comparing Listener Gaze with Predictions of an Incremental Reference Resolution Model.

PY - 2014/8

Y1 - 2014/8

N2 - In situated dialogue, listeners resolve referring expressions incrementally and their gaze often attends to the described objects in the context. We have looked at how listener gaze compares to a statistical reference resolution model that works incrementally. We found that listeners gaze at referred objects even before a referring expression begins, suggesting that salience and prior information is important in reference resolution models.

AB - In situated dialogue, listeners resolve referring expressions incrementally and their gaze often attends to the described objects in the context. We have looked at how listener gaze compares to a statistical reference resolution model that works incrementally. We found that listeners gaze at referred objects even before a referring expression begins, suggesting that salience and prior information is important in reference resolution models.

UR - https://pub.uni-bielefeld.de/record/2685975

M3 - Presentation

T2 - RefNet Workshop on Computational and Psychological Models of Reference Comprehension and Production

Y2 - 1 August 2014

ER -

Comparing Listener Gaze with Predictions of an Incremental Reference Resolution Model

Abstract

Conference

EGS Disciplines

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