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ICASSP
2008
IEEE
15 years 4 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
ITCC
2005
IEEE
15 years 3 months ago
A Scalable Generative Topographic Mapping for Sparse Data Sequences
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ata Kabán
MLMI
2004
Springer
15 years 3 months ago
Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and ...
Andrei Popescu-Belis, Alexander Clark, Maria Georg...
IR
2006
14 years 9 months ago
A relatedness analysis of government regulations using domain knowledge and structural organization
The complexity and diversity of government regulations make understanding and retrieval of regulations a non-trivial task. One of the issues is the existence of multiple sources o...
Gloria T. Lau, Kincho H. Law, Gio Wiederhold
SIGIR
2008
ACM
14 years 9 months ago
A new probabilistic retrieval model based on the dirichlet compound multinomial distribution
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
Zuobing Xu, Ram Akella