Description:

The Aika algorithm is based on various ideas and approaches from the field of AI such as artificial neural networks, frequent pattern mining and logic based expert systems and can be applied to a broad spectrum of text analysis tasks. Aika combines these concepts in a single very compact algorithm. Aika is based on non-monotonic logic, meaning that it first draws tentative conclusions only. In other words, Aika is able to generate multiple mutually exclusive interpretations of a word, phrase, or sentence, and select the most likely interpretation. It does so by propagating activations through a neural network. These activations can be seen as some kind of text annotation since they refer to a specific text segment and a given interpretation. Aika consists of two layers. The neural layer, containing all the neurons and continuously weighted synapses and underneath that the discrete logic layer, containing a boolean representation of all the neurons. The logic layer uses a frequent pattern lattice to efficiently store the individual logic nodes.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Platform Agnostic

Data Formats: Txt

Tags: Information Extraction, Neural Network, Text Mining

Archive: download here

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