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CS551H: NATURAL LANGUAGE GENERATION (2021-2022)

Last modified: 31 May 2022 13:05


Course Overview

The aim of the course is to introduce students who have some background in computing to (1) the varied aims for which Natural Language Generation (NLG) is pursued, (2) the main rule based and statistical methods that are used in NLG, and (3) some of the main NLG algorithms and systems. The course will cover NLG both as a theoretical enterprise (e.g., for constructing models of language production) and as practical language engineering, paying particular attention to the link between NLG and data science. Some programming experience is expected.



Course Details

Study Type Postgraduate Level 5
Term Second Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Professor Ehud B. Reiter

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

The course will cover topics including:
1. Introduction: the varied aims of NLG; some examples of practical NLG systems
2. The classic NLG pipeline
3. The revised Data2Text pipeline, including data analysis and interpretation
4. Highlight: Data analysis and interpretation
5. Highlight: Generation of Referring Expressions
6. Highlight: Grammars and Linguistic Realisation
7. Evaluation methods for NLG algorithms and systems
8. Algorithmic models of human language production
9. Links with neighbouring areas of NLP: visualisation; summarisation; machine translation; dialogue

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Essay

Assessment Type Summative Weighting 25
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Technology Assessment Report

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
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Commercial Product Design, Demo and Report

Assessment Type Summative Weighting 50
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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Software and Report: NLG Application using Arria Studio

Assessment Type Summative Weighting 25
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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Resit Assessments

Resubmission of failed elements

Assessment Type Summative Weighting
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
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Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberILO’s for this course are available in the course guide.

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