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SEMWEB
2009
Springer
15 years 6 months ago
Towards Lightweight and Robust Large Scale Emergent Knowledge Processing
We present a lightweight framework for processing uncertain emergent knowledge that comes from multiple resources with varying relevance. The framework is essentially RDF-compatibl...
Vít Novácek, Stefan Decker
NAACL
2007
15 years 1 months ago
Multiple Aspect Ranking Using the Good Grief Algorithm
We address the problem of analyzing multiple related opinions in a text. For instance, in a restaurant review such opinions may include food, ambience and service. We formulate th...
Benjamin Snyder, Regina Barzilay
ECIR
2003
Springer
15 years 1 months ago
From Uncertain Inference to Probability of Relevance for Advanced IR Applications
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
Henrik Nottelmann, Norbert Fuhr
CIKM
2001
Springer
15 years 4 months ago
Relevance Score Normalization for Metasearch
Given the ranked lists of documents returned by multiple search engines in response to a given query, the problem of metasearch is to combine these lists in a way which optimizes ...
Mark H. Montague, Javed A. Aslam
ECIR
2008
Springer
15 years 1 months ago
Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores
Abstract. The Information Retrieval community uses a variety of performance measures to evaluate the effectiveness of scoring functions. In this paper, we show how to adapt six pop...
Frank McSherry, Marc Najork