Extracting significant phrases from text

Prospective readers can quickly determine whether a document is relevant to their information need if the significant phrases (or keyphrases) in this document are provided. Although keyphrases are useful, not many documents have keyphrases assigned to them, and manually assigning keyphrases to existing documents is costly. Therefore, there is a need for automatic keyphrase extraction. This paper introduces a new domain independent keyphrase extraction algorithm. The algorithm approaches the problem of keyphrase extraction as a classification task, and uses a combination of statistical and computational linguistics techniques, a new set of attributes, and a new learning method to distinguish keyphrases from non-keyphrases. The experiments indicate that this algorithm performs at least as well as other keyphrase extraction tools and that it significantly outperforms Microsoft Word 2000's AutoSummarizefeature

The effects of rescheduling on manufacturing systems complexity

Rescheduling is a means of managing internal and external disturbances in order to satisfy customer demand subject to resource constraints. The extent and nature of rescheduling have some effects on the overall complexity of the manufacturing facility. Complexity is associated with the variety and uncertainty within manufacturing systems. Complexity can be classified into static and dynamic. Static complexity is related to the schedule (variety) whereas dynamic complexity is related to the deviations from the schedule (uncertainty). Informationtheoretic measures can be used to quantify complexity. The aim of this paper is to investigate the relationship between rescheduling and complexity. This will be illustrated using a case study that involves two companies working in a supplier-customer relationship.