This paper reviews state-of-the-art techniques and methods for enhancing effectiveness of
cross-language information retrieval (CLIR). The following research issues are covered:(1) …

This paper presents a new probabilistic model of information retrieval. The most important
modeling assumption made is that documents and queries are defined by an ordered …

An important class of searches on the world-wide-web has the goal to find an entry page
(homepage) of an organisation. Entry page search is quite different from Ad Hoc search …

This paper explores approaches to the problem of spoken document retrieval (SDR), which
is the task of automatically indexing and then retrieving relevant items from a large collection …

In this paper we propose a probabilistic model for online document clus-tering. We use non-
parametric Dirichlet process prior to model the grow-ing number of clusters, and use a prior …

A modern information retrieval system must have the capability to find, organize and present
very different manifestations of information–such as text, pictures, videos or database …

With the advent of essentially unlimited data storage capabilities and with the proliferation of
the use of the Internet, it becomes reasonable to imagine a world in which it would be …

The role of information retrieval (IR) in support of decision making and knowledge
management has become increasingly significant. Confronted by various problems in …

During the last two years, exciting new approaches to information retrieval were introduced
by a number of different research groups that use statistical language models for retrieval …

Over the years, various meta-languages have been used to manually enrich documents with
conceptual knowledge of some kind. Examples include keyword assignment to citations or …