Algorithms for robust knowledge extraction in learning environments

Ifeyinwa Okoye, Keith Maull, Tamara Sumner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper presents preliminary results on a generalizability study that was carried out to evaluate the robustness of a knowledge extraction algorithm.

Original languageEnglish
Title of host publicationIntelligent Tutoring Systems - 10th International Conference, ITS 2010, Proceedings
Pages245-247
Number of pages3
EditionPART 2
DOIs
StatePublished - 2010
Event10th International Conference on Intelligent Tutoring Systems, ITS 2010 - Pittsburgh, PA, United States
Duration: Jun 14 2010Jun 18 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6095 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Intelligent Tutoring Systems, ITS 2010
Country/TerritoryUnited States
CityPittsburgh, PA
Period06/14/1006/18/10

Keywords

  • automatic knowledge base creation
  • multi-document summarization

Fingerprint

Dive into the research topics of 'Algorithms for robust knowledge extraction in learning environments'. Together they form a unique fingerprint.

Cite this