home kb Information and Knowledge Technologies Information Extraction Summarisation Summarisation
External Links
Google
Google Scholar
Citeseer
provided by
German Research Center for Artificial Intelligence
with support by
through
as well as by
through
 

Summarisation

definition: Text summarization is the process of distilling the most important information from a source (or sources) to produce an abridged version for a particular user (or users) and task (or tasks). Source: Mani, I. and Maybury, M. T., editors (1999), Advances in Automatic Text Summarization. MIT Press, Cambridge, Massachusetts.
See also the corresponding HLT Survey chapter: http://www.lt-world.org/hlt_survey/ltw-chapter7-4.pdf
related project(s):
  • Summarization Projects at Columbia University
  • Summ-it
  • Automated Text Summarization (SUMMARIST)
  • Document Understanding Conferences (DUC)
  • Text Retrieval, Extraction and Summarisation for Large Enterprises (TRESTLE)
  • Search and Summarize (SeaSum)
related organisation(s):
  • Columbia Natural Language Processing Group
  • MITRE Corporation
  • Intelligent Systems Division (ISD)
related person(s):
  • Chin Yew Lin
  • Simone Teufel
  • Karen Spärck Jones
  • Daniel Marcu
  • Dragomir R. Radev
  • Eduard H. Hovy
  • Inderjeet Mani
related system(s) / resource(s):
  • Inxight Summarizer SDK
  • IBM summarization products
  • Microsoft - AutoSummarize
  • Glucose Surfboard
related publication(s):

The automatic creation of literature abstracts.
Luhn, H. P.
IBM Journal of Research and Development. 2. 1985. 159--165.

Advances in Automatic Text Summarization.
Mani, Inderjeet and Maybury, Mark T.
MI