We present our work on the identification of opinions and its components: the source, the topic and the message. We describe a rule-based system for which we achieved a recall of 74% and a precision of 94%. Experimentation with machine-learning techniques for the same task is currently underway.

Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist (adaline unit) representation. Each neurule is represented as an adaline unit. One way that the neurules can be produced is from training examples (empirical source knowledge). However, in certain application fields not all of the training examples are available a priori. A number of them become a...

We distinguish two types of metric for the evaluation of rule-based learning systems: performance metrics are derived from the feedback to the learning agent from its teacher or environment, while population state metrics are derived from inspection of the rule base used for decision making. We propose novel population state metrics for use with learning classifier systems, evaluate them using ...

We present the results and analysis of our chemical structure recognition system, MolRec, in the CLEF 2012 chemical structure recognition task. MolRec analyses a diagram image, extracts vectorised components from the image and applies a rule based system to construct an internal representation of the chemical structure. This internal representation can then be exported to MOL or SMILE format. T...

in introducing automated, model-based diagnostic technologies into industrial settings. In particular, I discuss the competition that this technology has been receiving from handcrafted, rule-based diagnostic systems that has set some high standards that must be met by model-based systems before they can be viewed as viable alternatives. The battle between model-based and rulebased approaches t...

A complex sentence, divided into clauses, can be analyzed more easily than the complex sentence itself. We present here, the task of identification and classification of clauses in Hindi text. To the best of our knowledge, not much work has been done on clause boundary identification for Hindi, which makes this task more important. We have built a rule based system using linguistic cues such as...