# example configuration for the medical NLP application

# import externals

[import]

sections = imp_env, imp_uts

[imp_env]

type = environment

section_name = env

includes = set: MEDNLP_CRED

[imp_uts]

type = json

default_section = uts

config_file = ${env:mednlp_cred}/uts.json

# UTS (UMLS access); see example/uts/uts.conf

[uts]

cache_file = ${appenv:root_dir}/target/uts-request.dat

#api_key = <add key here or import from external source>

## MedCAT customization

# [medcat_resource]

## package customization

# uncomment to customize filtering

# [mednlp_filter_token_mapper]

# class_name = zensols.nlp.FilterTokenMapper

# remove_space = True

# uncomment to customize document parsing

#[mednlp_doc_parser]

#token_feature_ids = set: norm cui_ pref_name_

# uncomment to include descriptions in token features

#include_definition = True