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Unit of competency details

ICTAII503 - Build natural language processing models and pipelines (Release 1)

Summary

Usage recommendation:
Current
Release Status:
Current
Releases:
ReleaseRelease date
1 1 (this release) 03/Feb/2022

Companion volumes:
Unit of competency Assessment requirements

Delivery:
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Classifications

SchemeCodeClassification value
ASCED Module/Unit of Competency Field of Education Identifier 020103 Programming  

Classification history

SchemeCodeClassification valueStart dateEnd date
ASCED Module/Unit of Competency Field of Education Identifier 020103 Programming  27/Apr/2022 
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Unit of competency

Modification History

Release 

Comments 

Release 1

This version first released with the Information and Communications Technology Training Package Version 8.0.

Newly created unit of competency to address in-demand skills needs.

Application

This unit describes the skills and knowledge required to develop and apply routine natural language processing (NLP) pipelines to support the configuration of organisational computers to decode, interpret and manipulate human speech and text.

The unit applies to individuals who work across a wide range of information and communications technology (ICT) roles, including support technicians, system administrators, programmers and cloud computing engineers.

No licensing, legislative or certification requirements apply to this unit at the time of publication.

Unit Sector

Artificial intelligence

Elements and Performance Criteria

ELEMENT 

PERFORMANCE CRITERIA 

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element.

1. Prepare to create NLP process

1.1 Confirm work brief and tasks according to organisational policies and procedures

1.2 Establish requirements for morphological, lexical, syntactic and semantic analysis, disclosure integration and pragmatic analysis

1.3 Obtain human language data sources according to work brief

2. Extract, model and predict language tokens

2.1 Identify fields and blocks of language content

2.2 Source tokenizer according to organisational policies and procedures

2.3 Identify and mark sentence, phrase and paragraph boundaries

2.4 Normalise and tag acronyms in document according to work brief

2.5 Predict parts of speech for each generated token

3. Process texts and pipeline tokens

3.1 Lemmatise text in required document according to work brief

3.2 Identify and filter out stop words in document

3.3 Assign grammatical components with dependency parsing tags

3.4 Define relationships between parent words and other words in required document

3.5 Identify noun phrases according to work brief

3.6 Conduct named entity recognition (NER) and label nouns with real-world concepts

3.7 Create pipeline and run each token through NER tagging model

3.8 Run coreference algorithm on each token

4. Finalise NLP pipeline and required documentation

4.1 Review and apply security classifications and required security level in consultation with required personnel

4.2 Secure and save NLP pipeline according to organisational policies and procedures

4.3 Seek and implement feedback on processes from required personnel

Foundation Skills

This section describes those language, literacy, numeracy and employment skills that are essential to performance but not explicit in the performance criteria.

Skill 

Description 

Numeracy
  • Extracts, interprets and comprehends statistical data in the context of developing NLP pipelines
  • Calculates data inputs and outputs to interpret metric results and outputs and evaluate accuracy

Reading
  • Interprets technical information presented in graphic, diagrammatic and visual form

Writing
  • Compiles reports with input from a range of sources

Problem solving
  • Applies problem-solving processes to identify actions required to support resolution of organisational problems

Initiative and enterprise
  • Identifies and follows organisational protocols and procedures

Unit Mapping Information

No equivalent unit. Newly created unit.

Links

Companion Volume Implementation Guide is found on VETNet - - https://vetnet.gov.au/Pages/TrainingDocs.aspx?q=a53af4e4-b400-484e-b778-71c9e9d6aff2

 

Assessment requirements

Modification History

Release 

Comments 

Release 1

This version first released with the Information and Communications Technology Training Package Version 8.0.

Newly created unit of competency to address in-demand skills needs.

Performance Evidence

The candidate must demonstrate the ability to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including evidence of the ability to:

  • build at least two natural language processing (NLP) models and pipelines.

In the course of the above, the candidate must:

  • produce documentation for all performed work tasks in required organisational formats
  • apply required organisational policies and procedures.

Knowledge Evidence

The candidate must be able to demonstrate knowledge to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including knowledge of:

  • requirements and techniques for analysing NLP models and pipelines, including:
  • natural language understanding (NLU)
  • natural language generation (NLG)
  • key functions and features of components used to build NLP models and pipelines, including:
  • tagging
  • data sources
  • tokenizers
  • boundaries
  • language fields and blocks
  • acronyms
  • speech prediction
  • parameters
  • common types of morphological, lexical, syntactic and semantic analysis, disclosure integration and pragmatic analysis
  • key techniques and features of text processing, including:
  • filtering stop words
  • lemmatising texts
  • procedures for securing and saving NLP pipelines
  • industry-recognised software and resources required to build NLP pipelines
  • organisational formats for documentation and reports
  • organisational policies and procedures, and legislative requirements relating to work tasks.

Assessment Conditions

Skills in this unit must be demonstrated in a workplace or simulated environment where the conditions are typical of those in a working environment in this industry.

This includes access to:

  • software and resources required to build NLP pipelines
  • opportunities for interaction with others
  • work brief and organisational policies and procedures required to demonstrate the performance evidence.

Assessors of this unit must satisfy the requirements for assessors in applicable vocational education and training legislation, frameworks and/or standards.

Links

Companion Volume Implementation Guide is found on VETNet - - https://vetnet.gov.au/Pages/TrainingDocs.aspx?q=a53af4e4-b400-484e-b778-71c9e9d6aff2

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