Ruprecht-Karls-Universität Heidelberg
Institut für Computerlinguistik

Bilder vom Neuenheimer Feld, Heidelberg und der Universität Heidelberg

Recent Advances in Text Summarization

Kursbeschreibung

Course Module Abbreviation Credit Points
BA-2010 AS-CL 8 LP
BA-2010 AS-FL 8 LP
BA-2010[100%|75%] CS-CL 6 LP
BA-2010[50%] BS-CL 6 LP
BA-2010[25%] BS-AC, BS-FL 4 LP
Master SS-CL, SS-TAC, SS-FAL 8 LP
Lecturer Julius Steen
Module Type Proseminar / Hauptseminar
Language English
First Session 25.10.2021
Time and Place Monday, 16:15-17:45, Online
Commitment Period tba

Prerequisite for Participation

Master: Expertise comparable to course "Neural Networks: Architectures and Applications for NLP" or "Introduction to Neural Networks and Sequence-To-Sequence Learning"

Bachelor: Successful completion of "Statistical Methods for Computational Linguistics"; ideally also "Neural Networks: Architectures and Applications for NLP" or "Introduction to Neural Networks and Sequence-To-Sequence Learning"

Assessment

  • Active Participation
  • Presentation
  • Second presentation, term paper or implementation project

Content

Automatic text summarization systems generate concise summaries of key information extracted from one or more documents.

After a brief introduction to the task and its history, we are going to focus on recent developments in the field, including newly proposed algorithms and corpora as well as current challenges.

Kursübersicht

Seminarplan

Datum Sitzung Materialien

Literatur

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