Novelty detection via topic modeling in research articles
1 QUERY AND DOCUMENT EXPANSION IN TEXT RETRIEVAL Clara Isabel Cabezas University of Maryland College Park May, 2 nd 2000.
probabilistic ranking
Information Extraction Adapted from slides by Junichi Tsujii, Ronen Feldman and others.
1 Advanced information retrieval Chapter. 05: Query Reformulation.
Evaluation. Allan, Ballesteros, Croft, and/or Turtle Types of Evaluation Might evaluate several aspects Evaluation generally comparative –System A vs.
Chapter 5: Query Operations Baeza-Yates, 1999 Modern Information Retrieval.
Evaluation of IR LIS531H. Why eval? When designing and using a system there are decisions to be made: Manual or automatic indexing? Controlled vocabularies.
MIRACLE Multilingual Information RetrievAl for the CLEF campaign DAEDALUS – Data, Decisions and Language, S.A. Universidad Carlos III de.
CMPT 884, SFU, Martin Ester, 1-09 160 Information Extraction Martin Ester Simon Fraser University School of Computing Science CMPT 884 Spring 2009.
Information Extraction
MIRACLE M ultilingual I nformation R etriev A l for the CLE F campaign
