Search engine technology builds on theoretical and empirical research results in the area of
information retrieval (IR). This dissertation makes a contribution to the field of language …

Document clustering is a popular research topic, which aims to partition documents into
groups of similar objects (ie, clusters), and has been widely used in many applications such …

The crosslingual link detection problem calls for identifying news articles in multiple
languages that report on the same news event. This paper presents a novel approach based …

Hierarchical topic detection is a new task in the TDT 2004 evaluation program, which aims to
organize a collection of unstructured news data in a directed acyclic graph (DAG) structure …

Evaluation of interactive search systems has always been time-consuming and complex,
which probably explains the relative low level of interest from IR researchers for this type of …

Generative unigram language models have proven to be a simple though effective model for
information retrieval tasks. In contrast to ad-hoc retrieval, topic tracking requires that …

Hierarchical topic detection is a new task in the TDT 2004 evaluation program, which aims to
organize a collection of unstructured news data in a directed acyclic graph (DAG) structure …

This paper addresses the focus of this special issue by analyzing the potential contribution
of linguistic content and other nonimage aspects to the processing of audiovisual data. It …

The deployment and integration of audio processing tools can enhance the semantic
annotation of multimedia content, and as a consequence, improve the effectiveness of …

Abstract Systems that distill information about events from large corpora generally extract
sentences that are relevant to a short event query. We present a novel co-training strategy …