Semantic Computing (WS 2018/2019)
Semantic Computing (WS 2018/2019)
Lehrveranstaltung mit SWS 2/2/0 (Vorlesung/Übung/Praktikum) in WS 2018
Dozent
Tutor
Umfang (SWS)
- 2/2/0
Module
Leistungskontrolle
- Mündliche Prüfung
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 and methodologies in semantic computing, such as an introduction to linguistics and 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). At the very end, the course will look at how to employ the discussed methods to learn structured knowledge, such as ontologies, from natural language text.
Schedule
To be announced soon and does not start before 15 October 2018.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
- Van Eijck, J., & Unger, C. (2010). Computational semantics with functional programming. Cambridge University Press. (Good overview of formal semantics with practical examples)
- Montague Semantics
- Lappin, S. (2003). An introduction to formal semantics. The handbook of linguistics, 369-393.
- Alama, Jesse and Korbmacher, Johannes, "The Lambda Calculus", The Stanford Encyclopedia of Philosophy (Summer 2018 Edition), Edward N. Zalta (ed.), forthcoming URL = <https://plato.stanford.edu/archives/sum2018/entries/lambda-calculus/> (Currently: <https://plato.stanford.edu/entries/lambda-calculus/>)
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.
Veranstaltungskalender abonnieren (icalendar)
| Vorlesung | Lecture 1 | DS2, 19. Oktober 2018 in APB E005 | Datei |
| Vorlesung | Lecture 2 | DS1, 26. Oktober 2018 in APB E005 | Datei 1, Datei 2 |
| Vorlesung | Lecture 3 | DS1, 2. November 2018 in APB E005 | Datei |
| Vorlesung | Lecture 4 | DS1, 9. November 2018 in APB E005 | Datei 1, Datei 2, Datei 3, Datei 4 |
| Vorlesung | Lecture 5 | DS1, 16. November 2018 in APB E005 | Datei |
| Vorlesung | Lecture 6 | DS1, 23. November 2018 in APB E005 | Datei 1, Datei 2, Datei 3 |
| Vorlesung | Lecture 7 | DS1, 30. November 2018 in APB E005 | Datei 1, Datei 2 |
| Vorlesung | Lecture 8 | DS1, 6. Dezember 2018 in APB E005 | Datei |
| Vorlesung | Lecture 9 | DS1, 20. Dezember 2018 in APB E005 | Datei |
| Vorlesung | Lecture 10 | DS1, 11. Januar 2019 in APB E005 | Datei 1, Datei 2 |
| Vorlesung | Lecture 11 | DS1, 14. Januar 2019 in APB E005 | Datei |
| Vorlesung | Lecture 12 | DS1, 18. Januar 2019 in APB E005 | Datei 1, Datei 2 |
| Vorlesung | Lecture Ontology Learning (for your reference only - not part of exam) | DS1, 25. Januar 2019 in APB E005 | Datei |
Kalender
