Linguistic Entity Extractor | AO Platform

Intended audience: analysts developers administrators

AO Platform: 4.3

Overview

This topic contains the Parameters configuration section of the Linguistic Entity Extractor Strategy. For text data where it is hard to capture entities using a simple RegEx, the Linguistic expression/Linguistic regex can help. Different types of regex, such as Tregex, Token RegEx, Semi RegEx and simple Java RegEx can be combined into a single “Linguistic Group ID”.

Properties

Label	Description
Linguistic Group ID	Search dialog - the Linguistic Group ID will reference a Linguistic Group containing Filter, Entity and Value regex configurations available from the Admin solution page: Linguistic Group Expressions in the AI Configurations > NLP section. Filter regex: used to finding Sentence Candidates Typically based on Simple RegEx Example: BaseCapAmount → com:apporchid::baseCapAmount expression 1 with no rule expression 2 with rule etc… Entity regex: used to finding Entity Values Output from above Sentence Candidates becomes input to this section Value regex: used to finding Values Example: valueRegexGroup → com:apporchid::baseCapAmountValueRegex expression 1 with no rule expression 2 with rule etc…
Annotators	Multi-select Dropdown. Example value: parse
Annotator Timeout	Text Field - number value - default 100 - increment of 5
Regex Type	Dropdown. Example value: Tregex
Entity Type	Default is capitalized value of Property Name, eg. BUYER_LIABILITY_CAP_DESCRIPTIVE_AMOUNT
Token Matcher Timeout	Text Field - number value - default 100 - increment of 5
Casing Type	Dropdown. Example value: LowerCase
Validation Rule ID	Search dialog - the Validation Rule ID will reference one or more Validation regex configurations available from the Admin Solution page: Linguistic Rule in the AI Configurations > NLP section. Validation regex: used for validation and extrating actual Entities required Output from candidate entity values becomes input to this section

Also see Testing Strategies.

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