This paper introduces a new examplebased method of machine translation in which the examples need not be direct translations. The system will weed out strange examples during translation, allowing the use of currently available sentence aligned corpora as data. Rulebased modules are used where appropriate. A prototype Japanese-to-English system has been implemented that allows multiple users to...

This paper shows how belief revision techniques can be used in Defeasible Logic to change rulebased theories characterizing the deliberation process of cognitive agents. We discuss intention reconsideration as a strategy to make agents compliant with the norms regulating their behavior.

In this paper we describe SoMaJo, a rulebased tokenizer for German web and social media texts that was the best-performing system in the EmpiriST 2015 shared task with an average F1-score of 99.57. We give an overview of the system and the phenomena its rules cover, as well as a detailed error analysis. The tokenizer is available as

Reaction RuleML is one of the two major subfamilies of RuleML and acts as an interchange format for reactive rules and rulebased event-processing languages. Exemplified with a recent instantiation of Rule Responder, a rule-based inference agent middleware, we demonstrate the event messaging features of Reaction RuleML, which supports loosely-coupled interface-based interaction using rule signat...

This paper describes a method to design rulebased fuzzy adaptive controllers. The rules are learnt from the observed behaviour of a virtual self-tuning feedback (PID) controller. The designed controller is supposed to support typical control requirements (i.e. fast-following, zero steady state error, overshoot suppression, etc.) using only a small number of rules.

The popular microblogging service Twitter provides a vast amount of short messages that contains interesting information for Information Extraction tasks. This paper presents a rulebased system for the recognition and semantic disambiguation of named entities in tweets. As our experimental results shows, performance of this approach measured through BDM looks promising when using Linked Data as...

a new parametric model was developed for predicting cut point of hydraulic classifiers. the model directly uses operating parameters including pulp flowrate, feed particle size characteristics, pulp solids content, solid density and particles retention time in the classification chamber and also covers uncontrollable errors using calibration constants. the model applicability was first verified...

land degradation is a major danger which restricting different areas of iran. systematic description of the environmentfor detection of environmental changes and the human-related causes and responses is essential in land cover changestudy. use of land cover data allow detection of where certain changes occur, what type of change, as well as how theland is changing. existing systems for classif...

the article suggests an algorithm for regular classifier ensemble methodology. the proposed methodology is based on possibilistic aggregation to classify samples. the argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. the optimization aims at learning backgrounds as solid clusters in subspaces of the high-dim...