scholarly journals Estimating the number of segments for improving dialogue act labelling

2011 ◽  
Vol 18 (1) ◽  
pp. 1-19 ◽  
Author(s):  
VICENT TAMARIT ◽  
CARLOS-D. MARTÍNEZ-HINAREJOS ◽  
JOSÉ-MIGUEL BENEDÍ
Keyword(s):  
Functional Role ◽  
Probabilistic Models ◽  
Dialogue Systems ◽  
Dialogue System ◽  
New Approach ◽  
Dialogue Acts ◽  
Dialogue Manager ◽  
Number Of Segments

AbstractIn dialogue systems it is important to label the dialogue turns with dialogue-related meaning. Each turn is usually divided into segments and these segments are labelled with dialogue acts (DAs). A DA is a representation of the functional role of the segment. Each segment is labelled with one DA, representing its role in the ongoing discourse. The sequence of DAs given a dialogue turn is used by the dialogue manager to understand the turn. Probabilistic models that perform DA labelling can be used on segmented or unsegmented turns. The last option is more likely for a practical dialogue system, but it provides poorer results. In that case, a hypothesis for the number of segments can be provided to improve the results. We propose some methods to estimate the probability of the number of segments based on the transcription of the turn. The new labelling model includes the estimation of the probability of the number of segments in the turn. We tested this new approach with two different dialogue corpora: SwitchBoard and Dihana. The results show that this inclusion significantly improves the labelling accuracy.

scholarly journals Automatically Training a Problematic Dialogue Predictor for a Spoken Dialogue System

2002 ◽  
Vol 16 ◽  
pp. 293-319 ◽  
Author(s):  
M. A. Walker ◽  
I. Langkilde-Geary ◽  
H. Wright Hastie ◽  
J. Wright ◽  
A. Gorin
Keyword(s):  
Information Sources ◽  
Dialogue Systems ◽  
Dialogue System ◽  
Spoken Dialogue Systems ◽  
Spoken Dialogue ◽  
Spoken Dialogue System ◽  
Customer Care ◽  
Dialogue Manager

Spoken dialogue systems promise efficient and natural access to a large variety of information sources and services from any phone. However, current spoken dialogue systems are deficient in their strategies for preventing, identifying and repairing problems that arise in the conversation. This paper reports results on automatically training a Problematic Dialogue Predictor to predict problematic human-computer dialogues using a corpus of 4692 dialogues collected with the 'How May I Help You' (SM) spoken dialogue system. The Problematic Dialogue Predictor can be immediately applied to the system's decision of whether to transfer the call to a human customer care agent, or be used as a cue to the system's dialogue manager to modify its behavior to repair problems, and even perhaps, to prevent them. We show that a Problematic Dialogue Predictor using automatically-obtainable features from the first two exchanges in the dialogue can predict problematic dialogues 13.2% more accurately than the baseline.

scholarly journals Dialogue state tracking accuracy improvement by distinguishing slot-value pairs and dialogue behaviour

2021 ◽  
Vol 21 (2) ◽  
pp. 1057
Author(s):  
Khaldoon H. Alhussayni ◽  
Alexander Zamyatin ◽  
S. Eman Alshamery
Keyword(s):  
Critical Role ◽  
Historical Context ◽  
Dialogue Systems ◽  
Tracking Accuracy ◽  
Dialogue System ◽  
Dialogue Acts ◽  
Proposed Model ◽  
State Tracking ◽  
Task Oriented ◽  
Previous User

<div><p>Dialog state tracking (DST) plays a critical role in cycle life of a task-oriented dialogue system. DST represents the goals of the consumer at each step by dialogue and describes such objectives as a conceptual structure comprising slot-value pairs and dialogue actions that specifically improve the performance and effectiveness of dialogue systems. DST faces several challenges: diversity of linguistics, dynamic social context and the dissemination of the state of dialogue over candidate values both in slot values and in dialogue acts determined in ontology. In many turns during the dialogue, users indirectly refer to the previous utterances, and that produce a challenge to distinguishing and use of related dialogue history, Recent methods used and popular for that are ineffective. In this paper, we propose a dialogue historical context self-Attention framework for DST that recognizes relevant historical context by including previous user utterance beside current user utterances and previous system actions where specific slot-value piers variations and uses that together with weighted system utterance to outperform existing models by recognizing the related context and the relevance of a system utterance. For the evaluation of the proposed model the WoZ dataset was used. The implementation was attempted with the prior user utterance as a dialogue encoder and second by the additional score combined with all the candidate slot-value pairs in the context of previous user utterances and current utterances. The proposed model obtained 0.8 per cent better results than all state-of-the-art methods in the combined precision of the target, but this is not the turnaround challenge for the submission.</p></div>

CONCEPTUALIZATIONS OF DEPRESSION IN OLDER PEOPLE: THE INTERACTION OF POSITIVE AND NEGATIVE BELIEFS

1999 ◽  
Vol 27 (3) ◽  
pp. 285-290 ◽  
Author(s):  
Ian A. James ◽  
Katherine Kendell ◽  
F. Katharina Reichelt
Keyword(s):  
Older People ◽  
Functional Role ◽  
Late Onset ◽  
Self Esteem ◽  
The Self ◽  
First Episode ◽  
New Approach ◽  
Negative Beliefs ◽  
Alternative Conceptualization

Empirical evidence for the efficacy of Cognitive Therapy (CT) treatments for older adults, when compared with other psychotherapies, is inconclusive (Davies & Collerton, 1997). The current authors suggest that one reason for the equivocal findings lies in the failure to adapt the cognitive rationale sufficiently to cater for the different presentation of depression in older people; particularly for those experiencing first-episode late onset-depression. It is argued that existing models tend to focus on the negative aspects of self-appraisal, and fail to fully conceptualize the functional role of positive beliefs (i.e. functional beliefs that have maintained the self-esteem over many years). The work presents an alternative conceptualization of depression for older people, along with implications for therapy. This framework does not represent a brand new approach, but emphasizes specific aspects of existing psychological conceptualizations.

Expression and functional role of c-Kit and erbB2 in human hepatoblastoma.

2009 ◽  
Vol 221 (03) ◽  
Author(s):  
B Steiger ◽  
I Leuschner ◽  
D Denkhaus ◽  
D von Schweinitz ◽  
T Pietsch
Keyword(s):  
Functional Role

Management of Economics and State "Bottom"

2020 ◽  
Vol 17 (6) ◽  
pp. 76-91
Author(s):  
E. D. Solozhentsev
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Probabilistic Models ◽  
Human Life ◽  
Special Software ◽  
Human Quality ◽  
Relationship Of ◽  
The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

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