Contains all the parameters to transform a dataset with two Input Annotations of types TOKEN and WORD_EMBEDDINGS, coming from ChunkTokenizer and ChunkEmbeddings Annotators and return the Normalized Entity for a particular trained ontology / curated dataset.
Class that contains distance in both representations: weighted and non-weighted, for using later in DistancePooling
Contains all the parameters to transform a dataset with two Input Annotations of types TOKEN and WORD_EMBEDDINGS, coming from ChunkTokenizer and ChunkEmbeddings Annotators and return the Normalized Entity for a particular trained ontology / curated dataset.
Helper object to use while setting confidenceFunction
parameter
Helper object to use while setting distanceFunction
parameter
Helper object to use while setting poolingStrategy
parameter