Natural Language Processing & Text Mining
Natural Language Processing & Text Mining
Lecturer: Prof. Dr. Goran Glavaš
Teaching Assistants: Benedikt Ebing, Fabian David Schmidt
Lecture: Wednesday 10:00 - 12:00 in Übungsraum II (Informatik)
Execises: Friday (a) 12:00 - 14:00 in Übungsraum I (Informatik); (b) 14:00 - 16:00 in Seminarraum II (Informatik)
Kickoff: 19.10.2022 in Zoom (see WueCampus for details)
Registration
It is not necessary to register for the lecture or exercises.
In order to get access to teaching materials and current announcements you need to register for WueCampus course
To participate in the exam you must register for the exam via WueStudy.
All further information on this can be found in our WueCampus course
Objective of the lecture
This lecture teaches the fundamentals of natural language processing and text mining. The tentative schedule of lectures is as follows:
19.10. Introduction to the course (Zoom)
26.10. Preprocessing (tok, ss, norm.)
2.11. POS-tagging
9.11. ML & Optimization intro
16.11. Classification with MaxEnt
23.11. MEMM & CRF
30.11. Grammars & Parsing
7.12. Parsing: CKY & Earley
14.12. Parsing: Shift-Reduce & Graph-based
21.12. IE & NER
11.1. Relation extraction & NSHC
18.1. Coreference resolution
25.1. Language Modeling
1.2. Distributional Semantics (Embeddings)
8.2. Topic Modeling (LDA)
