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» Using Information Extraction to Improve Document Retrieval
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149
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ECIR
1998
Springer
15 years 6 months ago
Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction
We present in this paper a combination of Machine Learning based Information Retrieval (IR) techniques and stochastic language modelling in a hierarchical system that extracts sur...
Hugo Zaragoza, Patrick Gallinari
173
Voted
RIAO
2004
15 years 6 months ago
Ontologies as Background Knowledge to Explore Document Collections
This paper introduces a new approach to provide users with solutions to explore a domain via an information space. A key point in our approach is that information searching and ex...
Nathalie Aussenac-Gilles, Josiane Mothe
146
Voted
WWW
2008
ACM
16 years 5 months ago
Mining, indexing, and searching for textual chemical molecule information on the web
Current search engines do not support user searches for chemical entities (chemical names and formulae) beyond simple keyword searches. Usually a chemical molecule can be represen...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles
126
Voted
ICMCS
2006
IEEE
139views Multimedia» more  ICMCS 2006»
15 years 10 months ago
A Measure for Evaluating Retrieval Techniques based on Partially Ordered Ground Truth Lists
For the RISM A/II collection of musical incipits (short extracts of scores, taken from the beginning), we have established a ground truth based on the opinions of human experts. I...
Rainer Typke, Remco C. Veltkamp, Frans Wiering
DATESO
2004
118views Database» more  DATESO 2004»
15 years 6 months ago
LSI vs. Wordnet Ontology in Dimension Reduction for Information Retrieval
Abstract. In the area of information retrieval, the dimension of document vectors plays an important role. Firstly, with higher dimensions index structures suffer the "curse o...
Pavel Moravec, Michal Kolovrat, Václav Sn&a...