Hasso-Plattner-Institut für Softwaresystemtechnik
IT-Systems Engineering

"Das HPI ist ein großer Gewinn für  die  Wissen- schaftsregion Berlin-Brandenburg." Klaus Wowereit, Regierender Bürgermeister von Berlin

IT-Systems Engineering

Hier finden sie die Hinweise zum Lehrangebot in den Bachelor- und Master-Studiengängen IT-Systems Engineering im laufenden Semester.

Ein Archiv mit dem Lehrangebot älterer Semester finden sie hier.

Question Answering (WS2011/2012)

Dozent: Prof. Dr. Felix Naumann, Dr. Saeedeh Momtazi (Information Systems)

Beschreibung

Automatic Question Answering (QA) has received researchers’ attention over the last decade. It aims to find a short answer string which exactly addresses the users' questions rather than overwhelm them with a large number of retrieved documents, which they must sort through to find the desired answer.

This goal is usually achieved using a combination of different techniques, including

  • information retrieval
  • information extraction
  • natural language processing
  • opinion mining.

In this seminar we will cover the most important components and techniques that are required for building a question answering system. In addition, the students will build a QA system that can answer questions from "Who wants to be a millionaire?".

More information can be found in the cource webpage at information systems research group.

 

Anforderungen

  • basic knowledge on information retrieval and machine learning

Lern- und Lehrformen

  • Weekly seminars
  • Literature review for QA systems
  • Implementation of a simple QA system for anwering multi-choice questions
  • Presentation

Leistungserfassungsprozess

  • Attending weekly seminars
  • Reading of relevant literature for one of the QA components and giving an intermediate talk about the component
  • Implementing one part of a simple question answering system for "Who wants to be a millionaire?"
  • Presenting the final results of the implemented QA system

Termine

The first session in which we will propose the relevant topics will be on Monday, October 17th, 2011 at 15:15. Room: A 2-2

Webseite

www.hpi.uni-potsdam.de/naumann/teaching/ws_1112/question_answering.html

Allgemeine Informationen

ID:

13 L 1355

Kennung:

VT OSIS

SWS:

2

ECTS Credit Points:

3 (benotet)

Einschreibefrist:

2.11.2011

Studiengang:

IT Systems Engineering (Master)

Themenmodul:

Vertiefungsgebiete

Lehrform:

Seminar

Belegungsart:

Wahlfach

Themenkomplex:

Vertiefungsgebiet:

Information Systems, Multimedia & Visualization, Systems Integration

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