Redlink NLP - Models · Model for representing and storing token level NLP annotations
Group: io.redlink.nlp - All Dependencies
Stanford NLP core module · Core module for NLP processing using Stanford NLP
OpenNLP German · Keyword Extraction Module for German based on OpenNLP
NLP StanfordNlp German · Stanford NLP Pipeline configuration for German
OpenNLP Italian · Keyword Extraction Module for Italien based on OpenNLP
OpenNLP Spanish · Keyword Extraction Module for Spanish based on OpenNLP
OpenNLP English · Keyword Extraction Module for English based on OpenNLP
NER OpenNLP German · Named Entity Extraction Module for German based on OpenNLP
Redlink NLP · Collection of useful modules related to natural language processing
Truecase for German · Determines the true case for German words
Snowball Stemmer · Stemming of texts based on a standalone Snowball library
Lucene Snowball Stemmer · Stemming of texts based on the Snowball version as used by Apache Lucene
Stanford Stanza · Connects with the Stanza server for NLP processing
OpenNLP Default Model · Provides a Tokenizer and Sentence Splitter that works for any language that uses whitespaces for word tokenization and .!? for sentence seperation. It is registererd as fallback model (ranking lower as 0) so that it will only get used if the text was not processed by some other model or even other preprocessors.
Negation Detection · Negation Detection based on POS tags as well as optional language specific negation rules (e.g. so that "Unterstützung" is treated as negated in a phrase like "keine Unterstützung" even so that it is gramatically not an negation)
NER OpenNLP Italian · Named Entity Extraction Module for Italian based on OpenNLP
NER OpenNLP Spanish · Named Entity Extraction Module for Spanish based on OpenNLP