Looks up sequences of tokens in a dictionary and then tags the sequence with one or more semantic tags as an alternative representation(s). Typically these tags represent entities such as {person}, {place}, {company}, etc.
Note that all possibilities are tagged, including overlaps and sub-patterns, with the expectation that later disambiguation stages will choose which tags are the correct interpretation.
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{ "type":"DictionaryTagger", "dictionary":"dict-provider:people-lowercase", "required":["TOKEN", "ALL_LOWER_CASE"] } |
Note that the "people-lowercase" resource must be in the format as specified below.
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The dictionary tagger must have an "entity dictionary format is under change... will be documented when complete.
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" (a string to JSON map) which is a list of JSON records, indexed by entity ID. In addition, there may also be a pattern map and a token index.
The only file which is absolutely required is the entity dictionary. It is a series of JSON records, typically indexed by entity ID.
Each JSON record represents an entity. The format is as follows:
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{
"id":"Q28260",
"tags":["{city}", "{administrative-area}", "{geography}"],
"patterns":[
"Lincoln", "Lincoln, Nebraska", "Lincoln, NE"
],
"confidence":0.95
. . . additional fields as needed go here . . .
} |