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Renée Pohlmann

dblp:26/2367 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › indexing
stemming
0.011996
Viewing Stemming as Recall Enhancement · SIGIR 1996
Information retrieval
retrieval evaluation
0.011996
Viewing Stemming as Recall Enhancement · SIGIR 1996
YearPublicationVenuePosition
1996 Viewing Stemming as Recall Enhancement
abstract
Previous research on stemming has shown both positive and negative effects on retrieval performance.This paper describes an experiment in which several linguistic and non-linguistic stemmers are evaluated on a Dutch test collection.Experiments especially focus on the measurement of Recall.Results show that linguistic stemming restricted to inflection yields a significant improvement over full linguistic and non-linguistic stemming, both in average Precision and R-Recall.Best results are obtained with a linguistic stemmer which is enhanced with compound analysis.This version has a significantly better Recall than a system without stemming, without a significant deterioration of Precision.
Wessel Kraaij, Renée Pohlmann
SIGIR2