This course offers an introduction to computational semantics, the study of automatically computing meanings of natural language text and utterances.
In particular, we will look at two prominent approaches: type-logical ontology-based meaning representations and vector space models. We will consider what those approaches have to say about what meanings are, how meanings are composed, how meaning aspects can be captured that go beyond the literal content of what is explicitely expressed, and how the construction of meanings can be automatized.
This will provide the necessary background knowledge for looking at application areas for computational semantics, and for considering what it means for a computer to understand language.
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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39-M-Inf-CS Computational Semantics | Seminar Computational Semantics I | Student information | |
Seminar Computational Semantics II | Graded examination
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Student information |
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