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Attention-based Dialog State Tracking for Conversational Interview Coaching

Abstract: 

This study proposes an approach to dialog state tracking (DST) in a conversational interview coaching system. For the interview coaching task, the semantic slots, used mostly in traditional dialog systems, are difficult to define manually. This study adopts the topic profile of the response from the interviewee as the dialog state representation. In addition, as the response generally consists of several sentences, the summary vector obtained from a long short-term memory neural network (LSTM) is likely to contain noisy information from many irrelevant sentences. This study proposes a sentence attention mechanism combining the sentence attention weights from a convolutional neural tensor network (CNTN) and the topic profile by selectively focusing on significant sentences for attention-based dialog state tracking. This study collected 260 interview dialogs consisting of 3,016 dialog turns for performance evaluation. A five-fold cross validation scheme was employed and the results show that the proposed method outperformed the semantic slot-based baseline method.

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Paper Details

Authors:
Kun-Yi Huang, Chu-Kwang Chen
Submitted On:
12 April 2018 - 11:50pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Ming-Hsiang
Paper Code:
HLT-P2.2
Document Year:
2018
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Document Files

ICASSP2018_Poster_20180410-3_Wu.pdf

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[1] Kun-Yi Huang, Chu-Kwang Chen, "Attention-based Dialog State Tracking for Conversational Interview Coaching", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2531. Accessed: May. 26, 2019.
@article{2531-18,
url = {http://sigport.org/2531},
author = {Kun-Yi Huang; Chu-Kwang Chen },
publisher = {IEEE SigPort},
title = {Attention-based Dialog State Tracking for Conversational Interview Coaching},
year = {2018} }
TY - EJOUR
T1 - Attention-based Dialog State Tracking for Conversational Interview Coaching
AU - Kun-Yi Huang; Chu-Kwang Chen
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2531
ER -
Kun-Yi Huang, Chu-Kwang Chen. (2018). Attention-based Dialog State Tracking for Conversational Interview Coaching. IEEE SigPort. http://sigport.org/2531
Kun-Yi Huang, Chu-Kwang Chen, 2018. Attention-based Dialog State Tracking for Conversational Interview Coaching. Available at: http://sigport.org/2531.
Kun-Yi Huang, Chu-Kwang Chen. (2018). "Attention-based Dialog State Tracking for Conversational Interview Coaching." Web.
1. Kun-Yi Huang, Chu-Kwang Chen. Attention-based Dialog State Tracking for Conversational Interview Coaching [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2531