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Hepatitis C virus (HCV) showed substantial nucleotide sequence diversity distributed throughout the viral genome, with many variants showing only 68 to 79% overall sequence similarity to one another. Phylogenetic analysis of nucleotide sequences derived from part of the gene encoding a non-structural protein (NS-5) has provided evidence for six major(More)
We have analysed the pattern of nucleotide sequence variability in the 5' non-coding region (5' NCR) of geographically dispersed variants of hepatitis C virus (HCV). Phylogenetic analysis of sequences in this region indicated the existence of a new virus type, provisionally termed type 4, the identity of which was confirmed by further analysis of the more(More)
Natural language understanding involves the simultaneous consideration of a large number of different sources of information. Traditional methods employed in language analysis have focused on developing powerful formalisms to represent syntactic or semantic structures along with rules for transforming language into these formalisms. However, they make use(More)
—We describe a comprehensive framework for text understanding , based on the representation of context. It is designed to serve as a representation of semantics for the full range of in-terpretive and inferential needs of general natural language processing. Its most distinctive feature is its uniform representation of the various simple and independent(More)
The transcriptional co-activators YAP and TAZ are downstream targets inhibited by the Hippo tumor suppressor pathway. YAP and TAZ both possess WW domains, which are important protein-protein interaction modules that mediate interaction with proline-rich motifs, most commonly PPXY. The WW domains of YAP have complex regulatory roles as exemplified by recent(More)
Discourse markers are complex discontinuous linguistic expressions which are used to explicitly signal the discourse structure of a text. This paper describes efforts to improve an automatic tagging system which identifies and classifies discourse markers in Chinese texts by applying machine learning (ML) to the disambiguation of discourse markers, as an(More)