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Poster for Unsupervised User Intent Modeling by Feature-Enriched Matrix Factorization

Feature-Enrich Matrix Factorization for SLU at ICASSP16
Abstract: 

Spoken language interfaces are being incorporated into various devices such as smart phones and TVs. However, dialogue systems may fail to respond correctly when users’ request functionality is not supported by currently installed apps. This paper proposes a feature-enriched matrix factorization (MF) approach to model open domain intents, which allows a system to dynamically add unexplored domains according to users’ requests. First we leverage the structured knowledge from Wikipedia and Freebase to automatically acquire domain-related semantics to enrich features of input utterances, and then MF is applied to model automatically acquired knowledge, published app textual descriptions and users’ spoken requests in a joint fashion; this generates latent feature vectors for utterances and user intents without need of prior annotations. Experiments show that the proposed MF models incorporated with rich features significantly improve intent prediction, achieving about 34% of mean average precision (MAP) for both ASR and manual transcripts.

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Paper Details

Authors:
Ming Sun, Alexander I. Rudnicky, Anatole Gershman
Submitted On:
31 March 2016 - 7:51pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Yun-Nung Chen
Paper Code:
HLT-P3.5
Document Year:
2016
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Document Files

FeatureMF_poster.pdf

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[1] Ming Sun, Alexander I. Rudnicky, Anatole Gershman, "Poster for Unsupervised User Intent Modeling by Feature-Enriched Matrix Factorization", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1079. Accessed: Jul. 22, 2017.
@article{1079-16,
url = {http://sigport.org/1079},
author = {Ming Sun; Alexander I. Rudnicky; Anatole Gershman },
publisher = {IEEE SigPort},
title = {Poster for Unsupervised User Intent Modeling by Feature-Enriched Matrix Factorization},
year = {2016} }
TY - EJOUR
T1 - Poster for Unsupervised User Intent Modeling by Feature-Enriched Matrix Factorization
AU - Ming Sun; Alexander I. Rudnicky; Anatole Gershman
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1079
ER -
Ming Sun, Alexander I. Rudnicky, Anatole Gershman. (2016). Poster for Unsupervised User Intent Modeling by Feature-Enriched Matrix Factorization. IEEE SigPort. http://sigport.org/1079
Ming Sun, Alexander I. Rudnicky, Anatole Gershman, 2016. Poster for Unsupervised User Intent Modeling by Feature-Enriched Matrix Factorization. Available at: http://sigport.org/1079.
Ming Sun, Alexander I. Rudnicky, Anatole Gershman. (2016). "Poster for Unsupervised User Intent Modeling by Feature-Enriched Matrix Factorization." Web.
1. Ming Sun, Alexander I. Rudnicky, Anatole Gershman. Poster for Unsupervised User Intent Modeling by Feature-Enriched Matrix Factorization [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1079