Immunization TBL Exercise

The - TBL System :

Relation Extraction Using TBL with Distant Supervision

Supervised machine learning methods have been widely used in relation extraction that finds the relation between two named entities in a sentence. However, their disadvantages are that constructing training data is a cost and time consuming job, and the machine learning system is dependent on the domain of the training data. To overcome these disadvantages, we construct a weakly labeled data se...

Improved TBL algorithm for learning context-free grammar

In this paper we introduce some improvements to the tabular representation algorithm (TBL) dedicated to inference of grammars in Chomsky normal form. TBL algorithm uses a Genetic Algorithm (GA) to solve partitioning problem, and improvements described here focus on this element of TBL. Improvements involve: i nitial population block size manipulation, block delete specialized operator and modif...

Adaptación del Método de Etiquetado No Supervisado TBL

This paper proposes an improvement of the Brill’s “TransformationRule Based” POS-Tagger Algorithm. Our improvement decreases training times considerably without affecting the accuracy of the algorithm.

µ-TBL Lite: A Small, Extendible Transformation-Based Learner

This short paper describes and in fact gives the complete source for a tiny Prolog program implementing a flexible and fairly efficient TransformationBased Learning (TBL) system: