Our team is giving a series of lectures and seminars with a focus on enterprise systems design and in-memory data management. Strong links to the industry ensure a close connection between theory and its implementation in the real world.

If you are having questions regarding one of our publications, please contact the authors.

Natural Language Processing

General information

Overall responsibility: Dr. Mariana Neves
Location: ~~HS3~~ Villa room 1.15
Time: ~~Mon 11:00 - 12:30~~ Wed 9:00-10:30
First lecture: Mon April 24th, 2017
2 Semesterwochenstunden (SWS)
3 ECTS (graded)

Grading

60% project (in teams)
40% final exam

Book

Speech and Natural Language Processing, Daniel Jurafsky and James H. Martin, Prentice Hall, 2nd edition (29. April 2008) or Prentice Hall International, Pearson New International Edition (17. Juli 2013). Draft of the third edition.

Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville, MIT Press, 2016 (section 12.4)

Other books in Best NLP books

Program

(Program is subject to change)

Session	Date	Topic
1	April 24, 2017	Introduction to Natural Language Processing
2	May 1, 2017	(no lecture - Maifeiertag)
3	May 8, 2017	Morphology, Morphological parsing
4	May 15, 2017	Tokenization and Segmentation; Language Model
5	May 22, 2017	Part-of-Speech Tagging and Syntactic Parsing
6	May 29, 2017	Lexical Semantics
7	June 5, 2017	(no lecture - Pfingstmontag)
8	June 12, 2017	Discourse Analysis
9	June 21, 2017	Project: mid-term presentation (15 minutes for each team)
10	June 28, 2017	Named-entity Recognition and Information Extraction (Villa room 2.16!)
11	July 5, 2017	Question Answering
12	July 12, 2017	(no lecture)
13	July 19, 2017	Project: final presentation (15 minutes for each team)
14	July 21, 2017	Final exam (9:00, Villa room 2.16!)

News

22.09.2023 | Trends and Concepts in the Softwareindustry Seminar offered in WiSe 2023/2024

Trends and Concepts in the Softwareindustry Seminar offered in WiSe 2023/2024 > Go to article

22.05.2023 | Christopher Hagedorn Successfully Defended His PhD Thesis

Christopher Hagedorn Successfully Defended His PhD Thesis > Go to article

03.03.2023 | Last Trends and Concepts course of Prof. Hasso Plattner

After more than 20 years of teaching, our founder and benefactor Prof. Hasso Plattner visited the HPI this week for his … > Go to article

01.03.2023 | Jan Kossmann Successfully Defended His PhD Thesis

Last week, Jan Kossmann another PhD student of our EPIC group successfully defended his thesis on the topic of … > Go to article

26.02.2023 | Paper on Data Tiering in Hyrise Published in BTW Proceedings

Our latest paper on data tiering in Hyrise "Workload-Driven Data Placement for Tierless In-Memory Database Systems" by … > Go to article

24.02.2023 | Paper on EPIC Research Group Published in SIGMOD Record

Our report “Enterprise Platform and Integration Concepts Research at HPI” has been published in the December issue of … > Go to article

30.11.2022 | Paper on Database Optimizations for Spatio-Temporal Data published in PVLDB

Our paper “Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems” has been published in … > Go to article

04.10.2022 | Günter Hesse Successfully Defended His PhD Thesis

Last week, Günter Hesse another PhD student of our EPIC group successfully defended his thesis on the topic of "A … > Go to article

08.07.2022 | Successful PhD Defense by Markus Dreseler

Markus Dreseler has successfully defended his PhD thesis on Automatic Tiering for In-Memory Database Systems. > Go to article

Literature

"A Course in In-Memory Data Management" by Prof. Dr. h.c. Hasso Plattner. This book is the culmination of six years work of in-memory research. As such, it provides the technical foundation for combined transactional and analytical workloads inside one single database as well as examples of new applications that are now possible given the availability of the new technology. The book is available at Springer.