Information extraction from text (ISPR4)

University of Belgrade

ECTS: 11.0

Contents of lectures

Contents of exercises

Prerequisite

Goal

Literature

  1. Poibeau, T.; Saggion, H.; Piskorski, J.; Yangarber, R. (Eds.): Multi-source, Multilingual Information Extraction and Summarization. Springer, 2013.
  2. Cunningham, et al. Text Processing with GATE (Version 6). University of Sheffield Department of Computer Science. 15 April 2011
  3. Sébastien Paumier. Unitex 3.0 User Manual. October 2011
  4. S. Sekine and E. Ranchold (Eds.): Named Entities - Recognition, classification and use, Benjamins Current Topics 19, John Benjamins Publishing Company, 2009.
  5. Eugene Agichtein and Luis Gravano. Snowball: Extracting relations from large plain-text collections. In Proceedings of the 5th ACM Conference on Digital Libraries, pp. 85–94, 2000.
  6. Oliver Bender, Franz Josef Och, and Hermann Ney. Maximum entropy models for named entity recognition. In Proceedings of the 7th Conference on Natural Language Learning, 2003.

Type of examination

Methods of teaching practice

Teachers