Artificial Intelligence
Artificial Intelligence - Special volume on natural language processing
The PLACA agent programming language
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
An architecture for more realistic conversational systems
Proceedings of the 6th international conference on Intelligent user interfaces
Agent-based software engineering
First international workshop, AOSE 2000 on Agent-oriented software engineering
Artificial Believers: The Ascription of Belief
Artificial Believers: The Ascription of Belief
TALISMAN: A Multi-Agent System for Natuarl Language Processing
SBIA '95 Proceedings of the 12th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
ISIS: Interaction through Speech with Information Systems
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
CL '00 Proceedings of the First International Conference on Computational Logic
An Incremental Discourse Parser Architecture
NLP '00 Proceedings of the Second International Conference on Natural Language Processing
A robust system for natural spoken dialogue
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
LHIP: extended DCGs for configurable robust parsing
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
A reflective proof system for reasoning in contexts
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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The main goal of our work is to propose an agent-oriented framework for developing robust NLP applications. This framework provides means to compose analysis modules in a co-operative style. The idea is to encapsulate existing analysis tools and resources within software agents coordinated at a higher level using meta-knowledge. Agents can be activated concurrently and they should provide their linguistic competence depending on the application needs. The activation policy is determined by the context, by the domain knowledge and by performance constraints. At this level, co-ordination is computational logic-based in order to exploit known inference mechanisms for the decision support. This framework should be general enough to cope with other kinds of information sources, such as multimedia documents and with multimodal dialogue systems.