Object class detection in scenes of realistic complexity remains a challenging task in computer vision. Most recent approaches focus on a single and general model for object class...
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...
We present an end-to-end tool-chain for model-based design and analysis of component-based embedded realtime software, with Avionics Mission Computing as an application domain. Th...
Zonghua Gu, Shige Wang, Sharath Kodase, Kang G. Sh...
Statistical language models play a major role in current speech recognition systems. Most of these models have focussed on relatively local interactions between words. Recently, h...
Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summariza...