This paper demonstrates a web-based online system, called META-DARE1. META-DARE is built to assist researchers to obtain insights into seed-based minimally supervised machine learning for relation extraction. META-DARE allows researchers and students to conduct experiments with an existing machine learning system called DARE (Xu et al., 2007). Users can run their own learning experiments by con...

An edge detection-based vessel tracing algorithm is presented to extract vascular tree structures present in medical images. Vasculatures are important features in biomedical image processing applications, such as in analyzing the biological process of angiogenesis. The presented algorithm first identifies points where blood vessels are likely to be then initiates traces from each identified se...

Cyanogenic glycosides are a large group of secondary metabolites that are widely distributed in the plant kingdom, including many plants that are commonly consumed by humans. The diverse chemical nature of cyanogenic glycosides means that extraction and analysis of individual compounds can be difficult. In addition, degradation can be rapid under appropriate conditions. Amygdalin is one of the ...

abstract: the object of this study is to extract the oil from millets and evaluate the chemical properties of the extracted oil. commercial millet oil was obtained by cold solvent extraction adopting soxhlet procedure. quantitative and qualitative tests concerned with the non-saponifiable matter, fatty acid composition, phosphorus content representing total phospholipids, refractive index, pero...

Abstract Citrus juice processing residues are mainly composed of peel, juice sack and seed. The peel, especially, consists of bioactive compounds such as flavones. Supercritical carbon dioxide (SC-CO2) extraction of flavonoid was carried out at a pressure of 30 MPa and temperature ranging from 80 to 160°C. Ratio of water and ethanol as a co-solvent was varied from 0 to 100%. Flavonoids such as ...

Information Extraction (IE) is a technology for localizing and classifying pieces of relevant information in unstructured natural language texts and detecting relevant relations among them. This thesis deals with one of the central tasks of IE, i.e., relation extraction. The goal is to provide a general framework that automatically learns mappings between linguistic analyses and target semantic...

Relation Extraction is the task of identifying relation between entities in a natural language sentence. We propose a semisupervised approach for relation extraction based on EM algorithm, which uses few relation labeled seed examples and a large number of unlabeled examples (but labeled with entities). We present analysis of how unlabeled data helps in improving the overall accuracy compared t...

Tomato (Solanum Lycopersicum L.) belong to family solanaceae is one of the largest vegetable crop. A Field experiment was conducted at Mother Teresa College Agriculture study effects different seed extraction methods on quality parameters in Tomato. The taken make treatments (i.e,) T1-Manual Extraction, T2--HCl@10ml for 15mins, T3-HCl@10ml 30mins, T4--Fermentation 24hrs (1day), T5-Fermentation ...

this study has been done to survey of solvent system effect on extraction of grape seed extract and its antimicrobial properties. for this purpose, grape seed extracts were extracted with six different solvent systems. minimum bactericidal concentration (mbc) of extract on six spoilage and food-born pathogens was determined. the results indicated that mbc of different extracts have no significa...

Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual reinforcement. The proposed approach does not require any seed patterns or examples. Instead, it depends on redundancy in large data sets and graph based mutual reinforcement to induce generalized “extraction patterns”....