Computational intelligence: a logical approach
Computational intelligence: a logical approach
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
GESIA: Uncertainty-Based Reasoning for a Generic Expert System Intelligent User Interface
ICTAI '96 Proceedings of the 8th International Conference on Tools with Artificial Intelligence
A process model for recognizing communicative acts and modeling negotiation subdialogues
Computational Linguistics
A computational model of incremental utterance production in task-oriented dialogues
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Structural Semantic Interconnections: A Knowledge-Based Approach to Word Sense Disambiguation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Agent communication and artificial institutions
Autonomous Agents and Multi-Agent Systems
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Semantic Lexicon-Based Multi-agent System for Web Resources Markup
ICIW '09 Proceedings of the 2009 Fourth International Conference on Internet and Web Applications and Services
Learning to interpret utterances using dialogue history
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
A semantic lexicon-based approach for sense disambiguation and its WWW application
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
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This paper presents a design framework for building intelligent interfaces using e-mails to dialogue with human users in task-oriented settings. In particular, the proposed approach is pursued from the pattern matching standpoint. Human-computer interaction (HCI) is faced as a classification process where the input data is represented by the user query written in natural language and the output is represented by the most likely classes of system services with a certain degree of match. In case of partial matching, the system instantiates a dialogue with the human user, attempting to disambiguate the meaning of the written text in the context of system services. A case study is reported and preliminary results are commented.