Token#getValue().MatchResult originating from the
RegexNamedEntityFactory.NamedPattern with the parsed nameVocabularyDetector that reads a Vocabulary from a
CSV file where the first column is the name and all further columns are
synonymsVocabularyDetector that reads a Vocabulary from a
CSV file where the first column is the name and all further columns are
synonymsVocabularyDetector.CaseSensitivity is set to VocabularyDetector.CaseSensitivity.offRegexNamedEntityFactory.NamedPattern to be used by the RegexNerProcessorRegexDetector that reads from a Reader
expecting one regex pattern per line.WordListDetector that reads from a Reader
expecting one word per line.RegexNamedEntityFactory in cases where
all created NamedEntities do use a single Token.Type
the created NamedEntities do use the NamedPattern#getName() as Token#getValue()
Subclasses just need to implement the NamedRegexDetector.loadPatterns() Method that
is called once and is expected to provide the list of Regex patterns.StringUtils.trimToNull(String) and
if #isCaseSensitive() converts the label to lower case
using VocabularyDetector.getLanguage() specific rulesPattern with an assigned Name.RegexNamedEntityFactory in cases where
all created NamedEntities do use a single NerTag
the created NamedEntities do use MatchResult.group() as Token#getValue()
Subclasses just need to implement the RegexNerDetector.initPatterns() Method that
is called once and is expected to provide the list of Regex patterns.Copyright © 2016–2017 Redlink GmbH. All rights reserved.