Model transformations are a key element in the OMG’s Model Driven Development agenda. They did not begin here: the fundamental idea of transforming, automatically, one model into...
Many recent statistical parsers rely on a preprocessing step which uses hand-written, corpus-specific rules to augment the training data with extra information. For example, head-...
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
Rohit Prabhavalkar, Preethi Jyothi, William Hartma...
The development of Internet commercial applications and corporate Intranets around the world, which uses Java as the de facto standard language, is a significant topic in modern S...
Oscar Pastor, Vicente Pelechano, Emilio Insfr&aacu...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...