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Techniques in Natural Language Generation
Lecturer:
Ralf Klabunde
Course Description:
This course gives an overview of different methods and algorithms used in
the automatic generation of natural language texts.
After a characterisation of the tasks that are necessary for the generation
of coherent texts, we will address various techniques that have been
proposed in the literature to approach these tasks. We will also have a
brief look at models of human language production and discuss the
differences and similiarities between models of language production and text
generation systems.
Lecture Plan:
Week 1
- overview, tasks in NLG
- content determination
- discourse planning
- lexical choice
Week 2
- sentence aggregation
- referring expression generation
- syntactic generation
- NLG and psycholinguistic models of language production
Main Text:
E. Reiter & R. Dale (2000) Building Natural Language Generation Systems.
Cambridge: Cambridge University Press.
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