turmeric (curcuma longa l.) is extensively used as a spice, food preservative and colouring material. it has been used in traditional medicine for various diseases. curcumin, the main yellow bioactive component of turmeric has been shown to have a wide spectrum of biological actions. heretofore, it has been reported that natural colored extracts isolated from turmeric rhizomes with many methods...

This document describes the University of Washington’s event extraction system used in the Event Argument Extraction and Linking and Event Nugget Detection tasks of the 2016 TAC KBP competition. This system was composed of three components: Evento, a CRFbased extractor, NomEvent, which makes use a lexicon to build features to identify nominal triggers, and NewsSpike, which uses an unsupervised ...

We observe that the randomness-complexity of an algorithm effects the time-complexity of implementing a version of it that utilizes a weak source of randomness (through a randomness-extractor). This provides an additional motivation for the study of the randomness complexity of randomized algorithms. We note that this motivation applies especially in the case that derandomization is prohibiting...

We construct a strong extractor against quantum storage that works for every min-entropy k, has logarithmic seed length, and outputs Ω(k) bits, provided that the quantum adversary has at most βk qubits of memory, for any β < 12 . Previous constructions required poly-logarithmic seed length to output such a fraction of the entropy and, in addition, required super-logarithmic seed length for smal...

The EM training algorithm of the classical i-vector extractor [1, 2] is often incorrectly described as a maximum-likelihood method. The i-vector model is however intractable—the likelihood itself and the hidden-variable posteriors needed for the EM algorithm cannot be computed in closed form. We show here that the classical i-vector extractor recipe is actually a mean-field variational Bayes (V...

BACKGROUND As we are witnessing a great interest in identifying and extracting chemical entities in academic articles, many approaches have been proposed to solve this problem. In this work we describe a probabilistic framework that allows for the output of multiple information extraction systems to be combined in a systematic way. The identified entities are assigned a probability score that r...