Our first objective in participating in this domain-specific evaluation campaign is to propose and evaluate various indexing and search strategies for the German, English and Russ...
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...
This paper proposes a platform that aims to support the whole process and facilitate archiving tasks at museums and galleries. When we try to preserve tacit knowledge or skills of ...
Abstract. This paper presents a method to describe the operational semantics of languages based on their meta-model. We combine the established high-level modelling languages MOF, ...
We describe a simple improvement to ngram language models where we estimate the distribution over closed-class (function) words separately from the conditional distribution of ope...
The representation of physical space has traditionally focused on keyphrases such as “Computer Science Building” or “Physics Department” that help us in describing and nav...
In the context of information retrieval, traditional collection selection algorithms have been widely studied. These algorithms utilize language models, a representation of the co...
Gary A. Monroe, James C. French, Allison L. Powell
We explore the relationship between time and relevance using TREC ad-hoc queries. A type of query is identified that favors very recent documents. We propose a time-based language...
In this work1 we obtain robust category-based language models to be integrated into speech recognition systems. Deductive rules are used to select linguistic categories and to matc...
Abstract. In this paper we present the creation of a Mexican Spanish version of the CMU Sphinx-III speech recognition system. We trained acoustic and N-gram language models with a ...