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Dialog control in a natural language system

Michael Gerlach, Helmut Horacek
1989 Proceedings of the fourth conference on European chapter of the Association for Computational Linguistics -   unpublished
In this paper a method for controlling the dialog in a natural language (NL) system is presented.  ...  Knowledge about the state of the dialog is represented in a dedicated language and changes of this state are described by a compact set of rules.  ...  • The two agents relevant in a dialog system are the USER and the SYSTEM. In addition, we use the notion 'mutual knowledge'.  ... 
doi:10.3115/976815.976819 fatcat:5yhwnlhshjfz7kz22fhuokmoli

Implementing a Natural Language Conversational Interface for Indian Language Computing

Rahul Jindal, Rohit Kumar, Ritvik Sahajpal, Sanjeev Sofat, Shailendra Singh
2004 IETE Technical Review  
In this paper a NLCI incorporating speech and dialog is presented.  ...  Natural Language Conversational Interfaces (NLCIs) can play the allimportant role in improving the usability of interfaces for the Indian masses.  ...  The natural dialog is user controlled instead of being a fixed set of prompts to which the user replies in a specified format. 2) Text In Speech Out Interface: Deepti's natural dialog response to user  ... 
doi:10.1080/02564602.2004.11417152 fatcat:w2yf4gsbirclrc7dotrjuqbhuy

Modeling complex spoken dialog

H. Dybkjaer, L. Dybkjaer
2004 Computer  
A customized dialog language, evolved from building an actual system, uses core patterns that modelers can adapt to most applications.  ...  Increasing task complexity is challenging the models that underlie spoken dialog systems.  ...  For the FAQ SDS dialog model design, our options were to use a natural language model or a combination of the menu and natural language models.  ... 
doi:10.1109/mc.2004.98 fatcat:coi2o5wjvnfyzlkujnmv5eefy4

Controlled Language and Baby Turing Test for General Conversational Intelligence [article]

Anton Kolonin
2020 arXiv   pre-print
Respectively, it requires accessible measures of the intelligence quality and controllable ways of its achievement, ideally - having the linguistic and semantic models represented in a reasonable way.  ...  We describe how the two can be used together to build a general-purpose conversational system such as an intelligent assistant for online media and social network data processing.  ...  Introduction The modern state of conversational intelligence [1, 2] can be seen as a field where either one of the two kinds of natural language processing system is present: A) dialog flow-based domain-specific  ... 
arXiv:2005.09280v1 fatcat:ncsaztpqz5h7fp7ddsjeiz3yoi

Page 168 of Computational Linguistics Vol. 23, Issue 1 [page]

1997 Computational Linguistics  
Pragmatic issues in handling Volume 23, Number 1 miscommunication: Observations of a spoken natural language dialog system In Proceedings of the AAAI '96 Workshop o on Detecting, Repairing, and Preventing  ...  Spoken Natural Language Dialog Systems: A Practical Approach. Oxford University Press, New York. Smith, Ronnie W., D. Richard Hipp, and Alan W. Biermann. 1995.  ... 

HMI MODELLING FOR MULTIMODAL LITHUANIAN APPLICATIONS

Rytis Maskeliunas, Kastytis Ratkevicius
2012 Information Technology and Control  
It is important to model and design spoken language dialog trees to imitate th e natural conversations in the human-com puter interactions, especially in information retrieval systems and applications.  ...  The results showed that it is possible to achieve about 97% recognition accuracy in simple phrase based dialog conversations and about 93% in a very naturally sounding keyword spotting based dialogs.  ...  Another one, ATR, was developed as a human-machine spoken language dialog system which predicts user utterances in different languages for a co nference registration application [14] ;  Logic models  ... 
doi:10.5755/j01.itc.41.2.909 fatcat:ze2drw3cxzbdpgdxqyoxewelm4

Few-shot Natural Language Generation for Task-Oriented Dialog [article]

Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
2020 arXiv   pre-print
As a crucial component in task-oriented dialog systems, the Natural Language Generation (NLG) module converts a dialog act represented in a semantic form into a response in natural language.  ...  To this end, we present FewShotWoz, the first NLG benchmark to simulate the few-shot learning setting in task-oriented dialog systems. Further, we develop the SC-GPT model.  ...  In a typical task-oriented dialog system, the Natural Language Generation (NLG) module plays a crucial role: it converts a system action (e.g., often specified in a semantic form selected by a dialog policy  ... 
arXiv:2002.12328v1 fatcat:k5r4wb74j5csdkzh5duufcs2rq

Large-scale software integration for spoken language and multimodal dialog systems

GERD HERZOG, ALASSANE NDIAYE, STEFAN MERTEN, HEINZ KIRCHMANN, TILMAN BECKER, PETER POLLER
2004 Natural Language Engineering  
This contribution 1 presents a general framework for building integrated natural-language and multimodal dialog systems.  ...  The development of large-scale dialog systems requires a flexible architecture model and adequate software support to cope with the challenge of system integration.  ...  Introduction One central element of research in the field of intelligent user interfaces (Maybury and Wahlster 1998) is the construction of advanced natural language and multimodal dialog systems that  ... 
doi:10.1017/s1351324904003444 fatcat:7agcdxactbddbgytxf3ux6qe5u

ViDA-MAN: Visual Dialog with Digital Humans [article]

Tong Shen, Jiawei Zuo, Fan Shi, Jin Zhang, Liqin Jiang, Meng Chen, Zhengchen Zhang, Wei Zhang, Xiaodong He, Tao Mei
2021 arXiv   pre-print
Compared to traditional text or voice-based system, ViDA-MAN offers human-like interactions (e.g, vivid voice, natural facial expression and body gestures).  ...  Given a speech request, the demonstration is able to response with high quality videos in sub-second latency.  ...  In order to coordinate different skills naturally, a hierarchical dialog policy controller [6] is adopted to select next dialogue actions.  ... 
arXiv:2110.13384v1 fatcat:r43jrlnpsjg7pnzwliiijgjl3e

A multilingual-supporting dialog system across multiple domains

Yunbiao Xu, Masahiro Araki, Yasuhisa Niimi
2003 Acoustical Science and Technology  
Such a dialog system benefits from three main methods we proposed, including case frame conversion, template-based text generation and topic frame driven dialog control scheme.  ...  The case frame conversion is used for translating a case frame described in a particular language into that described in a pivot language.  ...  ACKNOWLEDGEMENTS We would like to thank Nishimoto Takuya, Oku Tomoki for their many warmly assistant, valuable discussion/suggestion in various phases of this research.  ... 
doi:10.1250/ast.24.349 fatcat:ao3xcxkvjjc7fldt2xouiit5bm

Intelligent virtual agents for contact center automation

M. Gilbert, J.G. Wilpon, B. Stern, G. Di Fabbrizio
2005 IEEE Signal Processing Magazine  
One byproduct of this evolution, led by advancements in speech and language technologies, is enabling people to engage in seamless, natural conversation with a new breed of intelligent services.  ...  The voice-to-voice interface, a natural user experience, eventually has given way to a human-to-machine IEEE SIGNAL PROCESSING MAGAZINE [32] SEPTEMBER 2005  ...  The combination of state-of-the-art speech and language technologies, machine learning, and good UE design results in a natural and intelligent dialog in VoiceTone applications.  ... 
doi:10.1109/msp.2005.1511822 fatcat:g2szn2k5xrbsvl5kls2rezztcq

Intelligent User Interface in Fuzzy Environment

Ben Khayut, Lina Fabri, Maya Abukhana
2014 International Journal of Artificial Intelligence & Applications  
This circumstance leads to a redesign of the components of the User Interface and of the entire control system.  ...  Any dynamic changes in the controlled business process (as example, in organizational unit of the information fuzzy control system) make it necessary to modify the script dialogue in User Interface.  ...  interact with him in Natural Language without "menu" dialog.  ... 
doi:10.5121/ijaia.2014.5105 fatcat:hez5nlzttfg2lnyxaidpsqqto4

A Natural Conversational Virtual Human with Multimodal Dialog System

Itimad Raheem Ali, Ghazali Sulong, Ahmad Hoirul Basori
2014 Jurnal Teknologi  
The making of virtual human character to be realistic and credible in real time automated dialog animation system is necessary.  ...  More specifically, its focus is on behavior planning and developing the data control languages (DCL).  ...  The shift from language generation in a natural way to generating a multi-modal behavior is the control components of Multimodal dialog systems (MDS).  ... 
doi:10.11113/jt.v71.3859 fatcat:rtvoojoulrhargjk6xbrkmslwe

Zanzibar OpenIVR: An Open-Source Framework for Development of Spoken Dialog Systems [chapter]

Dmytro Prylipko, Dirk Schnelle-Walka, Spencer Lord, Andreas Wendemuth
2011 Lecture Notes in Computer Science  
Zanzibar OpenIVR is able to serve as a starting point for building dialog systems and research in voice-enabled technologies.  ...  The usage of our framework is discussed regarding different aspects of spoken dialog technology such as speech recognition and synthesis, integration of the components, dialog management, natural language  ...  It can be useful in research and development of communication standards, components of conversational systems, testing dialog flows and acoustic models etc.  ... 
doi:10.1007/978-3-642-23538-2_47 fatcat:pg2wfll7mvantmk5nc5kbviyie

Intelligent User Interface in Fuzzy Environment [article]

Ben Khayut, Lina Fabri, Maya Abukhana
2014 arXiv   pre-print
This circumstance leads to a redesign of the components of the User Interface and of the entire control system.  ...  of knowledge, Planning and Decision-making, Dialog Control, Reasoning and Systems Thinking, Fuzzy Control of organizational unit in real-time, fuzzy conditions, heterogeneous domains, and multi-lingual  ...  dialogue between them in a natural language using IUI.  ... 
arXiv:1402.2149v1 fatcat:z4nrtmqnqfgkxhqrr5fplhc5y4
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