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.

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Natural Language Processing

General information

Overall responsibility: Dr. Mariana Neves
Location: HS3
Time: Mon 13:30 - 15:00
First lecture: Mon April 11th, 2016
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)

Program

(Program is subject to change)

Session	Date	Topic
1	April 11, 2016	Lecture: Introduction to Natural Language Processing
2	April 18, 2016	(no lecture)
3	April 25, 2016	Lecture: Regular Expressions, Automata, Morphology and Transducers
4	May 2, 2016	Project presentation: introduction; Lecture: Words and Language Model
5	May 9, 2016	Lecture: Part-of-Speech Tagging
6	May 16, 2016	(Pfingstmontag - no lecture)
7	May 23, 2016	Project update: POS tags; Lecture: Syntactic Parsing
8	May 30, 2016	Lecture: Lexical Semantics
9	June 6, 2016	Lecture: Discourse analysis
10	June 13, 2016	(room HE.52) Project update: Parsing & Semantics; Lecture: Text Classification
11	June 20, 2016	Guest presentation: "Using NLP techniques to enable process mining" by Thomas Baier from Lana Labs; Lecture: Sentiment Analysis; Named-entity Recognition
12	June 27, 2016	Project update: Discourse & NER; Lecture: Information Extraction
13	July 4, 2016	Lecture: Question Answering and Summarization
14	July 11, 2016	Project final Presentation (15 minutes for each team)
15	July 18, 2016	(no lecture - overlap with TuK)
16	July 22, 2016	Final exam (room A2.1, 10:00)

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.