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» Statistical Language Models for Information Retrieval
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SIGIR
2002
ACM
13 years 8 months ago
Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis
Arabic, a highly inflected language, requires good stemming for effective information retrieval, yet no standard approach to stemming has emerged. We developed several light stemm...
Leah S. Larkey, Lisa Ballesteros, Margaret E. Conn...
SIGIR
2008
ACM
13 years 8 months ago
A general optimization framework for smoothing language models on graph structures
Recent work on language models for information retrieval has shown that smoothing language models is crucial for achieving good retrieval performance. Many different effective smo...
Qiaozhu Mei, Duo Zhang, ChengXiang Zhai
ECIR
1998
Springer
13 years 9 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
ECIR
2010
Springer
13 years 8 months ago
Analyzing Information Retrieval Methods to Recover Broken Web Links
In this work we compare different techniques to automatically find candidate web pages to substitute broken links. We extract information from the anchor text, the content of the p...
Juan Martinez-Romo, Lourdes Araujo
ACL
2012
11 years 11 months ago
Arabic Retrieval Revisited: Morphological Hole Filling
Due to Arabic’s morphological complexity, Arabic retrieval benefits greatly from morphological analysis – particularly stemming. However, the best known stemming does not hand...
Kareem Darwish, Ahmed Ali