Semantic Computing

From International Center for Computational Logic

Semantic Computing

Course with SWS 2/2/0 (lecture/exercise/practical) in SS 2018

Lecturer

SWS

  • 2/2/0

Modules

Examination method

  • Oral exam

Semantic computing tackles the computational understanding of meanings of contents and their machine readable representation. It refers to a set of methods for machines to acquire common-sense and linguistic knowledge. This introductory course covers a broad overview of fundamental theories in semantic computing, such as an introduction to Natural Language Processing (NLP), and a basic practical skill set of machine learning methods for natural language understanding, such as word embeddings, Support Vector Machines (SVM), and a very brief introduction to ontology learning from text.

Schedule

The lecture will take place each Monday as follows with the first lecture on 9 April 2018.

  • Monday, 2.50 -- 4.20 pm (lecture), Room APB/E005
  • Monday, 4.40 -- 6.10 pm (tutorial), Room PC-Pool APB-E069


Lecture free periods are:

  • Monday, 7 May
  • Monday, 21 May (Pentecost)


CREDITS: this lecture corresponds approximately to 6 credits, but please confirm the number of credits with the individual module

Materials

All slides of lectures and tutorials as well as model solutions for implementations will be provided here shortly after each lecture (in "Dates and Materials" on this page).

Contact

Questions are encouraged during the lecture. If you wish to discuss any questions or issues offline, feel free to e-mail me. There will be no official office hour. For personal appointments (office APB 2034), please also send me an e-mail ([dagmar_gromann@tu-dresden.de]).

LITERATURE Lecture slides and tutorials provide a broad overview on the wide range of topics covered in this lecture. For those interested in further readings to achieve a deeper understanding of individual topics the following literature listing might be useful.

Resources

Machine Learning

  • Mitchell, T. M. (1997). Machine Learning, McGraw-Hill Higher Education. New York.
  • Bishop, Christopher (2006) "Pattern Recognition and Machine Learning", Springer.
  • Murphy, K. P. (2012). Machine Learning: a Probabilistic Perspective. MIT Press, Cambridge, MA, USA.
  • Grus, Joel (2015) "Data Science from Scratch", O'Reilly Media
  • Goodfellow, Ian, Bengio, Yoshua and Courville, Aaron (2016) "Deep Learning" online edition available at www.deeplearningbook.org

Formal Semantics

Linguistics

  • Yule, G. (2014) "The Study of language", Cambridge. 5th ed. Cambridge University Press.
  • Cruse, A. (2011). "Meaning in language: An introduction to semantics and pragmatics", Oxford University Press.
  • O'Grady, William, John Archibald, et al. (2009) "Contemporary Linguistics: An Introduction." 6th ed. Bedford / St. Martin's, 2009.
  • David Crystal (1997) "The Cambridge Encyclopedia of Language", Cambridge University Press.

Subscribe to events of this course (icalendar)

Lecture Lecture 1 DS1, April 9, 2018 in APB E005 Download
Exercise Tutorial 1 DS1, April 9, 2018 in APB E069 Download
Lecture Lecture 2 DS1, April 16, 2018 in APB E005 Download
Exercise Continuation of Tutorial 1 DS1, April 16, 2018 in APB E069 Download
Exercise Tutorial 2 DS1, April 23, 2018 in APB E069 Download
Lecture Lecture 3 DS1, April 23, 2018 in APB E005 Download
Lecture Lecture 4 DS1, April 30, 2018 in APB E005 Download
Exercise Continuation of Tutorial 2 DS1, April 30, 2018 in APB E069 Download
Exercise Tutorial 3 DS1, May 14, 2018 in APB E069 Download
Lecture Lecture 5 DS1, May 14, 2018 in APB E005 Download
Lecture Lecture 6 DS1, May 28, 2018 in APB E005 Download
Exercise Tutorial 4 DS1, May 28, 2018 in APB E069 Download
Lecture Lecture 7 DS1, June 4, 2018 in APB E005 Download
Exercise Tutorial 5 DS1, June 4, 2018 in APB E069 Download
Lecture Lecture 8 DS1, June 11, 2018 in APB E005 Download
Exercise Tutorial 6 DS1, June 11, 2018 in APB E069 Download
Lecture Lecture 9 DS1, June 18, 2018 in APB E005 Download
Exercise Tutorial 7 DS1, June 18, 2018 in APB E069 Download
Exercise Tutorial 8 DS1, June 25, 2018 in APB E069 Download
Lecture Lecture 10 DS1, June 25, 2018 in APB E005 Download
Lecture Lecture 11 DS1, July 9, 2018 in APB E005 Download
Exercise Tutorial 9 DS1, July 9, 2018 in APB APB E069 Download
Lecture Lecture 12 DS1, July 16, 2018 in APB E005 Download


Calendar