In recent years stochastic context-free grammars have been shown to be effective in modeling human activities because of the hierarchical structures they represent. However, most of the research in this area has yet to address the issue of learning the activity grammars from a noisy input source, namely, video. In this paper, we present a framework for identifying noise and recovering the basic...

We present a noun chunker for German which is based on a head-lexicalised probabilistic contextfree grammar. A manually developed grammar was semi-automatically extended with robustness rules in order to allow parsing of unrestricted text. The model parameters were learned from unlabelled training data by a probabilistic context-free parser. For extracting noun chunks, the parser generates all ...

Estimating the parameters of stochastic context-free grammars (SCFGs) from data is an important, well-studied problem. Almost without exception, existing approaches make repeated passes over the training data. The memory requirements of such algorithms are illsuited for embedded agents exposed to large amounts of training data over long periods of time. We present a novel algorithm, called HOLA...

Haemorrhagic septicaemia (HS) vaccine which is prepared in Razi Institute is used in endemic areas ofIran. Aluminum-hydroxide gel was used as adjuvant for preparing this vaccine. Post-vaccinal shock reactionswere the main complaint after use of this vaccine. In a previous study, we could improve the vaccine byalum-precipitation Pasteurella multocida cells and removing the liquid phase. In this ...