(Semantikk for naturlig språk, 2017)
Given by Björn Gambäck.
The course consists of a set of regular lectures and one session with student presentations, as well as an exam (oral or written).
Note that the course is not only about Computational Semantics, but
that the course content in general is tailored towards the needs of the students writing a Master Thesis in
Language Technology or a related area.
Other students are of course very welcome to follow the course, but are adviced
to contact the lecturer beforehand.
This year we will in particular discuss:
introduction to language technology,
language evolution, and
The lecture schedule will tentatively be as follows:
- Wednesday 20.09, 09:15-11:00, 242: Introduction, Languages and Language Processing
- Wednesday 11.10, 14:15-16:00, F3: Computational Semantics, Compositional Semantics and Semantic Representations
- Wednesday 25.10, 13:15-15:00, 242: Sentiment Analysis, Author Profiling and Language Classification
- Wednesday 08.11, 13:15-15:00, 242: Computational Creativity and Language Processing Applications
- Wednesday 22.11, 9-11 and 13-15, 122: Presentations
Recommended reading; available in the course's folder on DropBox
(more articles can be added!)
Robert M. Seyfart, Dorothy L. Cheney & Peter Marler
Monkey Responses to Three Different Alarm Calls:
Evidence of Predator Classification and Semantic Communication
Science 210(4471):801-803, Nov. 1980.
Seven principles of surface structure parsing in natural language
Cognition 2(1):15-47, 1973.
Simon Colton & Geraint A. Wiggins
Computational Creativity: The Final Frontier?
Proceedings of the 20th ECAI, pp.21-26, IOS Press, 2012.
Margaret A. Boden
How Computational Creativity Began
In Besold et al. (eds.) Computational Creativity Research: Towards Creative Machines, pp. v-xiii, Atlantis Press, 2015.
Patrick Blackburn & Johan Bos
Representation and Inference for Natural Language:
A First Course in Computational Semantics.
CSLI Publications, Stanford, California. 2005.
Tom De Smedt
Case Studies in Python.
University Press Antwerp, Antwerpen, Belgium. 2013.
[Chapters 1 and 4-7, but all code examples and system evaluations can be glossed over.]
Sentiment Analysis and Opinion Mining
Morgan & Claypool Publishers. 2012.
[Chapters 1-2, 7 and 9 - the rest is background material.]
Bo Pang and Lillian Lee
Opinion Mining and Sentiment Analysis
Now Publishers. 2008.
The oral exam will mainly be based on the slides from the four lectures;
also available in the course's folder on DropBox.
Oral exam 1.12 (ca 20 min), Room 315
- Oral presentation (10-15 min, plus ca 5 min for questions), given on 22.11
in the 122
(each student needs to attend at least one 2-hour presentation slot and oppose one of the other presentations)
- together with a short essay (2 - 5 pages), handed in by 17.11
(presentation/essay topic to be decided together with the examiner: see below)
Possible essay topics would either be
Examples of such persons:
- on a theme related to (computational) semantics or (computational linguistic) creativity
(normally one connected to the student's master thesis topic) or
- revolve around a person who has had major influence on modern semantics and his/her theories.
John L. Austin
Donald H. Davidson
Charles J. Fillmore
Jerry A. Fodor
John R. Firth
Michael A. K. Halliday
Bertrand A. W. Russell
John R. Searle
Ferdinand de Saussure
For nærmere informasjon om emnet, kontakt faglærer Björn Gambäck.