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» Two-stage language models for information retrieval
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SIGIR
2008
ACM
13 years 7 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 7 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
IJCNLP
2004
Springer
14 years 1 months ago
Window-Based Method for Information Retrieval
In this paper, a series of window-based methods is proposed for information retrieval. Compared with traditional tf-idf model, our approaches are based on two new key notions. The ...
Qianli Jin, Jun Zhao, Bo Xu
DELOS
2001
13 years 9 months ago
Relevance Feedback for Best Match Term Weighting Algorithms in Information Retrieval
Personalisation in full text retrieval or full text filtering implies reweighting of the query terms based on some explicit or implicit feedback from the user. Relevance feedback i...
Djoerd Hiemstra, Stephen E. Robertson