Title
Conversational natural language understanding interfacing city event information
Abstract
The article describes aspects of the development of a conversational natural language understanding (NLU) system done during the first year of the European research project CATCH-2004 (Converse in AThens Cologne and Helsinki) [http://www.catch2004.org]. The project is co-funded by the European Union in the scope of the IST programme (IST 1999-11103).Its objectives focus on multi-modal, multi-lingual conversational natural language access to information systems. The paper emphasises on architecture, and telephony-based speech and NLU components as well as aspects of the implementation of a city event information (CEI) system in English, Finnish, German and Greek. The CEI system accesses two different databases in Athens and Helsinki using a common retrieval interface. Furthermore the paper singles out methodologies involved for acoustic and language model of the speech recognition component, parsing techniques and dialog modelling for the conversational natural language subsystem. For the implementation it outlines an incremental system refinement methodology necessary to adapt the system components to real-life data. It addresses the implementation of language specific characteristics and a common dialog design for all four languages, but also deals with aspects towards a multilingual conversational system. Finally, it presents prospects for further developments of the project.
Year
DOI
Venue
2002
10.1016/S0169-023X(02)00050-2
Data Knowl. Eng.
Keywords
Field
DocType
conversational natural language subsystem,interfacing city event information,language model,incremental system refinement methodology,conversational natural language understanding,information system,cei system,multi-lingual conversational natural language,language specific characteristic,system component,multilingual conversational system,dialog,natural language,speech recognition,design for all
Dialog box,Design for All,Computer science,Natural language understanding,Natural language,Parsing,Database,Language model,European union,German
Journal
Volume
Issue
ISSN
42
3
0169-023X
Citations 
PageRank 
References 
0
0.34
6
Authors
8
Name
Order
Citations
PageRank
Marion Mast17414.12
Thomas Ross251.27
Henrik Schulz3395.76
Heli Harrikari491.85
Vasiliki Demesticha5486.68
Lazaros Polymenakos625128.84
Yannis Vamvakoulas740.88
Jan Stadermann8556.59