Paul S. Jacobs

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Ordinarily, one thinks of the problem of natural language understanding as one of making a single, left-to-right pass through an input, producing a progressively refined and detailed interpretation. In text interpretation, however, the constraints of strict left-to-right processing are an encumbrance. Multi-pass methods , especially by interpreting words(More)
This paper presents an overview of the TIPSTER/SHOGUN project, the major results, and the SHOGUN data extraction system. TIP-STER/SHOGUN was a joint effort of Management and Data Systems (formerly GE Aerospace), part of the ARPA TIPSTER Text program. Two of the main technical thrusts of the project were: (1) the development of a model of finite-state(More)
Recent work in text analysis has suggested that data on words that frequently occur together reveal important information about text content. Co-occurrence relations can serve two main purposes in language processing. First, the statistics of co-occurrence have been shown to produce accurate results in syntactic analysis. Second, the way that words appear(More)
Neither natural language processing nor information retrieval is any longer a young field, but the two areas have yet to achieve a graceful interaction. Mainly, the reason for this incompatibility is that information retrieval technology depends upon relatively simple but robust methods, while natural language processing involves complex knowledge-based(More)
To understand the roles of secretory peptides in developmental signaling, we have studied Drosophila mutant for the gene peptidylglycine alpha-hydroxylating monooxygenase (PHM). PHM is the rate-limiting enzyme for C-terminal alpha-amidation, a specific and necessary modification of secretory peptides. In insects, more than 90% of known or predicted(More)