Language Modeling (LM) has been successfully applied to Information Retrieval (IR). However, most of the existing LM approaches only rely on term occurrences in documents, queries...
Jing Bai, Dawei Song, Peter Bruza, Jian-Yun Nie, G...
We present the development and tuning of a topic-adapted language model for word prediction, which improves keystroke savings over a comparable baseline. We outline our plans to d...
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...
: The aim of this paper is to present an approach and automated tools for designing knowledge bases describing the contents of information sources in PICSEL2 knowledgediators. We a...
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...