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» Combining Multiple Models for Speech Information Retrieval
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NIPS
2004
15 years 1 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
EACL
2006
ACL Anthology
15 years 1 months ago
Adaptivity in Question Answering with User Modelling and a Dialogue Interface
Most question answering (QA) and information retrieval (IR) systems are insensitive to different users' needs and preferences, and also to the existence of multiple, complex ...
Silvia Quarteroni, Suresh Manandhar
WWW
2008
ACM
16 years 15 days ago
Modeling anchor text and classifying queries to enhance web document retrieval
Several types of queries are widely used on the World Wide Web and the expected retrieval method can vary depending on the query type. We propose a method for classifying queries ...
Atsushi Fujii
ECIR
2006
Springer
15 years 1 months ago
An Efficient Computation of the Multiple-Bernoulli Language Model
Abstract. The Multiple Bernoulli (MB) Language Model has been generally considered too computationally expensive for practical purposes and superseded by the more efficient multino...
Leif Azzopardi, David E. Losada
CIKM
2008
Springer
15 years 1 months ago
A latent variable model for query expansion using the hidden markov model
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Qiang Huang, Dawei Song