Robust methods in analysis of 
natural language data

The automated analysis of natural language data has become a central issue in the design of intelligent information systems. Processing unconstrained natural language data is still considered as an AI-hard task. However, various analysis techniques have been proposed to address specific aspects of natural language. In particular, recent interest has been focused on providing approximate analysis techniques, assuming that when perfect analysis is not possible, partial results may be still very useful.

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Special Issue on Robust Methods in Analysis of Natural Language Data

Natural Language Engineering ◽

10.1017/s1351324901009433 ◽

2001 ◽

Vol 7 (2) ◽

pp. 189-190

Author(s):

Afzal Ballim ◽

Vincenzo Pallotta

Keyword(s):

Natural Language ◽

Language Processing ◽

Automated Analysis ◽

Robust Methods ◽

Human Communication ◽

Analysis Techniques ◽

Spoken Language Processing ◽

Intelligent Information Systems ◽

Language Data ◽

Intelligent Information

The automated analysis of natural language data has become a central issue in the design of Intelligent Information Systems. The term natural language is intended to cover all the possible modalities of human communication and it is not restricted to written or spoken language. Processing unrestricted natural language is still considered as an AI-hard task. However various analysis techniques have been proposed in order to address specific aspects of natural language. In particular, recent interest has been on providing approximate analysis techniques, assuming that perfect analysis is not possible, but that partial results are still very useful.

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Design of intelligent information systems

10.31085/9785392337460-2021-72 ◽

2021 ◽

Author(s):

A.A. Kharlamov

Keyword(s):

Information Systems ◽

Intelligent Information Systems ◽

Intelligent Information

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The Central Role of Cognitive Computations in Human-Information Interaction

10.1093/oso/9780198799603.003.0014 ◽

2018 ◽

Author(s):

Wai-Tat Fu ◽

Jessie Chin ◽

Q. Vera Liao

Keyword(s):

Information Systems ◽

Cognitive Science ◽

Intelligent Systems ◽

Intelligent System ◽

Levels Of Abstraction ◽

Intelligent Information Systems ◽

Emergent Behaviour ◽

Information Interaction ◽

Intelligent Information

Cognitive science is a science of intelligent systems. This chapter proposes that cognitive science can provide useful perspectives for research on technology-mediated human-information interaction (HII) when HII is cast as emergent behaviour of a coupled intelligent system. It starts with a review of a few foundational concepts related to cognitive computations and how they can be applied to understand the nature of HII. It discusses several important properties of a coupled cognitive system and their implication to designs of information systems. Finally, it covers how levels of abstraction have been useful for cognitive science, and how these levels can inform design of intelligent information systems that are more compatible with human cognitive computations.

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