This paper proposes a ternary relation extraction method primarily based on rich syntactic information. We identify PROTEIN-ORGANISM-LOCATION relations in the text of biomedical articles. Different kernel functions are used with an SVM learner to integrate two sources of information from syntactic parse trees: (i) a large number of syntactic features that have been shown useful for Semantic Rol...

This paper proposes a ternary relation extraction method primarily based on rich syntactic information. We identify PROTEIN-ORGANISM-LOCATION relations in the text of biomedical articles. Different kernel functions are used with an SVM learner to integrate two sources of information from syntactic parse trees: (i) a large number of syntactic features that have been shown useful for Semantic Rol...

BACKGROUND Antioxidant nutrients found in popularly consumed vegetables, including red beans, are thought to prevent diabetic complications. In this study, we assessed the frequency and contributing factors of intake of fruits and vegetables rich in antioxidants, and we determined their impact on the prevention of diabetes-related cataract extraction. METHODS This was a cross-sectional study,...

The growth of multilingual web content and increasing internationalization portends the need for cross-language query processing. We offer ML-OntoES (a MultiLingual Ontology-based Extraction System) as a solution for narrowdomain/data-rich applications. Based on language-independent extraction ontologies (Embley, Liddle, & Lonsdale, 2011), ML-OntoES enables semantic search over domain-specific,...

Background & Aim:Medicinal plants are rich sources of substances with nutraceutical and health benefits. Valeriana officinalis L. (Valerianaceae) is a known medicinal plant used in traditional medicine throughout the world. The present study aimed to evaluate the efficiencies of three methods for antioxidant extraction from Valeriana officinalis</...

a new method for the determination of trace copper(ii) in food samples by cloud point extraction(cpe) combined with flame atomic absorption spectrometry(faas) is presented and evaluated. the method is based on the fact that hydrophobic complex of copper(ii) with sodium diethyldithiocarbamate (ddtc) was formed at ph 6.0 and subsequently the hydrophobic complex was extracted into surfactant-rich ...

Future exploitation scheme of an oil reservoir in each cycle within its production life depends on the profitability of the current extraction scenario compared with predicted recoveries that acquire with applying other available methods. In fractured reservoirs appropriate time to pass from the gas injection process into chemical enhanced oil recovery (EOR) firmly depends on the oil extraction...

Compositional embedding models build a representation (or embedding) for a linguistic structure based on its component word embeddings. We propose a Feature-rich Compositional Embedding Model (FCM) for relation extraction that is expressive, generalizes to new domains, and is easy-to-implement. The key idea is to combine both (unlexicalized) handcrafted features with learned word embeddings. Th...

In this paper, we present two terminology extraction tools in order to compare a knowledge-poor and a knowledge-rich approach. Both tools process single and multi-word terms and are designed to handle multilingualism. We run an evaluation on six languages and two di erent domains using crawled comparable corpora and hand-crafted reference term lists. We discuss the three main results achieved f...

Cloud point extraction was successfully applied to the preconcentration of phenothiazine derivatives, such as pericyazine (PC), chlorpromazine (CP) and fluphenazine (FUL), for gas chromatography (GC). Phenothiazine derivatives were separated from surfactants by passing the surfactant-rich phase through a cation exchange column after cloud point extraction, permitting the determination of the ph...