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IRAL
2003
ACM
15 years 4 months ago
Improving document clustering by utilizing meta-data
In this paper, we examine how to improve the precision and recall of document clustering by utilizing meta-data. We use meta-data through NewsML tags to assist clustering and show...
Kam-Fai Wong, Nam-Kiu Chan, Kam-Lai Wong
ECIR
2008
Springer
15 years 12 days ago
Modeling Documents as Mixtures of Persons for Expert Finding
Abstract. In this paper we address the problem of searching for knowledgeable persons within the enterprise, known as the expert finding (or expert search) task. We present a proba...
Pavel Serdyukov, Djoerd Hiemstra
LREC
2008
140views Education» more  LREC 2008»
15 years 12 days ago
Unsupervised Relation Extraction From Web Documents
The IDEX system is a prototype of an interactive dynamic Information Extraction (IE) system. A user of the system expresses an information request in the form of a topic descripti...
Kathrin Eichler, Holmer Hemsen, Günter Neuman...
ACL
2011
14 years 2 months ago
Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
Shasha Liao, Ralph Grishman
SIGIR
2012
ACM
13 years 1 months ago
Explicit relevance models in intent-oriented information retrieval diversification
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
Saul Vargas, Pablo Castells, David Vallet