Sentence examples for rules to extract from inspiring English sources

Rule-based systems [27] use a set of hand-made rules to extract the names of entities.

In this section, we first describe the Pustejovsky's qualia theory and then present Cimiano and Wenderoth approach based on rules to extract qualia structures from the Web.

This is a new approach for automatic ontology population that uses an ontology to automatically generate rules to extract instances from text and classify them in ontology classes.

The MutationFinder system [ 6] extends MuteXt [ 3]'s rules to extract and normalize point mutations.

Still other systems use rules to extract interactions; PPLook Zhangg et al., 2010) and PPInterFinder (Raja et al., 2013) use specific interaction patterns to extract PPIs from sentences.

Here, we present a more sophisticated scheme for refining association rules to extract patterns of phenotypic associations and to visualize them graphically.

The model first recognizes the boundary of each section and then applies a regular expression rule to extract the section heading part before the colon from the sentence annotated with the "B" tag.

In addition to these classification methods, we have also explored association rule learning to extract the relations between the variables and to identify frequent pattern rules.

In order to identify topics, we propose the use of sentence-level association rule mining to extract strongly correlated (co-occurring) keywords as patterns.

Specifically, our approach uses three data mining methods, namely attribute selection, decision tree learning, and association rule discovery, to extract previously unknown and meaningful patterns that connect specific types of foodborne diseases outbreaks with associated foods vehicles and consumption locations.

We estimate that it would take more than 1 month to mine 3-COG rules by CAR APRIORI to extract rules with the same level of FDR. Figure 1a shows the number of unique COGs found in pairwise, 2-COG and 3-COG association rules within various FDR levels where broken line corresponds to the number of uncharacterized COGs.