In a supertagging task, sequence labeling models are commonly used. But their limited ability to model long-distance information presents a bottleneck to make further improvements...
Today's enterprises face critical needs in integrating disparate information spread over several data sources inside and even outside the organization. Most organizations alre...
Today, there are several approaches supporting an integrated processing of XML and (object-)relational data sources. However, each of these approaches favors a single data model f...
In the field of sensor networks, data integration and collaboration, and intelligence gathering efforts, information on the quality of data sources are important but are often not...
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...