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» On the Complexity of Model Expansion
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ACL
2006
13 years 9 months ago
Argumentative Feedback: A Linguistically-Motivated Term Expansion for Information Retrieval
We report on the development of a new automatic feedback model to improve information retrieval in digital libraries. Our hypothesis is that some particular sentences, selected ba...
Patrick Ruch, Imad Tbahriti, Julien Gobeill, Alan ...
DEXA
2001
Springer
91views Database» more  DEXA 2001»
14 years 1 days ago
Towards the Development of Heuristics for Automatic Query Expansion
Abstract. In this paper we study the performance of linguisticallymotivated conflation techniques for Information Retrieval in Spanish. In particular, we have studied the applicat...
Jesús Vilares, Manuel Vilares Ferro, Miguel...
ECIR
2008
Springer
13 years 9 months ago
Robust Query-Specific Pseudo Feedback Document Selection for Query Expansion
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
Qiang Huang, Dawei Song, Stefan M. Rüger
CIKM
2007
Springer
14 years 1 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann
GLOBECOM
2007
IEEE
14 years 1 months ago
Reduced Complexity Sequence Detection of Continuous Phase Modulation Represented as the Linear Superposition of Amplitude Modula
The Laurent Decomposition expresses any binary single-h CPM waveform as the summation of a finite number of pulse amplitude modulated components, and this result has been useful i...
Marilynn P. Wylie-Green, Erik Perrins