Various rule-extraction techniques using ANN have been used so far, most of them being applied on multi-layer ANN, since they are more easily handled. In many cases, extraction methods focusing on different types of networks and training have been implemented. However, there are virtually no methods that view the extraction of rules from ANN as systems which are independent from their architect...

The chemical name extraction has a great importance in the biomedical field. Named Entity Recognition is the subtask of information extraction that is used to identify named entities in the given data. There are various dictionary-based, rule-based and machine learning approaches available for Named Entity Recognition. Rule based techniques include hand written rules. In this paper an extensive...

The AVATAR Information Extraction System (IES) at the IBM Almaden Research Center enables highprecision, rule-based, information extraction from text-documents. Drawing from our experience we propose the use of probabilistic database techniques as the formal underpinnings of information extraction systems so as to maintain high precision while increasing recall. This involves building a framewo...

This paper presents a quantitative investigation of the differences between rule extraction through breadth first search and through sampling the states of the RNN in interaction with its domain. We show that for an RNN trained to predict symbol sequences in formal grammar domains, the breadth first search is especially inefficient for languages sharing properties with realistic real world doma...

In this paper, we investigate the extraction of fuzzy rules from data tables based on possibility theory. A possibilistic decision language is used to represent the extracted fuzzy rules. The algorithm for rule extraction is presented and the complexity analysis is carried out. Since the results of the rule induction process strongly depend on the representation language, we also discuss some a...

We experiment with adding semantic role information to a string-to-tree machine translation system based on the rule extraction procedure of Galley et al. (2004). We compare methods based on augmenting the set of nonterminals by adding semantic role labels, and altering the rule extraction process to produce a separate set of rules for each predicate that encompass its entire predicate-argument...

We participate in the subtask “technical trend map creation” of patent mining task at NTCIR-8. In this paper, we define this task as a knowledge extraction task for patent abstracts and the CRF method and Rule method are introduced in our approach. Compare with the evaluation results, we find out the effect of method of integrating CRF model and Rule model is better than that only using CRF mod...