Abstractive Multi-Document Summarization via Phrase Selection and Merging

We propose an abstraction-based multi-document summarization framework that can construct new sentences by exploring more fine-grained syntactic units than sentences, namely, noun/verb phrases. Different from existing abstraction-based approaches, our method first constructs a pool of concepts and facts represented by phrases from the input documents. Then new sentences are generated by selecting and merging informative phrases to maximize the salience of phrases and meanwhile satisfy the sentence construction constraints. We employ integer linear optimization for conducting phrase selection and merging simultaneously in order to achieve the global optimal solution for a summary. Experimental results on the benchmark data set TAC 2011 show that our framework outperforms the state-of-the-art models under automated pyramid evaluation metric, and achieves reasonably well results on manual linguistic quality evaluation.Comment: 11 pages, 1 figure, accepted as a full paper at ACL 201

Graphical chemical fingerprints of parsley, dill and lovage leaves

The aim of this study is to emphasis the use of thermo gravimetrical water content and trace metals analysis to identify the chemical graphical fingerprints of parsley, dill and lovage leaves. Copper, zinc, manganese, iron, nickel and lead have normal concentration values that are not of any risk to human health. Cobalt, chromium and cadmium were not detectable in all studied samples. The water and present trace metals contents associated with mathematical models permits the identification of characteristics specific to the studied vegetable leaves as well as the graphical chemical fingerprints. The study is revealing similar distribution pattern

Improving the Estimation of Word Importance for News Multi-Document Summarization - Extended Technical Report

In this paper, we propose a supervised model for ranking word importance that incorporates a rich set of features. Our model is superior to prior approaches for identifying words used in human summaries. Moreover we show that an extractive summarizer which includes our estimation of word importance results in summaries comparable with the state-of-the-art by automatic evaluation

Перспективы применения процесса ионной флотации

В настоящее время в цветной металлургии для селективного извлечения металлов из растворов используют, как правило, процессы сорбции и экстракции. Достоинства этих процессов общепризнаны. Однако, в связи с увеличением потребления минерального сырья, а так же снижением содержания извлекаемого металла, возрастает объем перерабатываемых растворов с низкой (от единиц до 50 мг/л) концентрацией извлекаемого компонента. В этом случае требуется существенное улучшение кинетических характеристик ионного обмена и снижение потерь органической фазы при жидкостной экстракции. В то же время процесс ионной флотации (или флотации осадков) хорошо себя зарекомендовал при необходимости работы с большими объемами растворов различной кислотности и весьма малой концентрацией извлекаемого металла

Bioremediation Potential of Native Hydrocarbons Degrading Bacteria in Crude Oil Polluted Soil

Bioremediation of crude oil contaminated soil is an effective process to clean petroleum pollutants from the environment. Crude oil bioremediation of soils is limited by the bacteria activity in degrading the spills hydrocarbons. Native crude oil degrading bacteria were isolated from different crude oil polluted soils. The isolated bacteria belong to the genera Pseudomonas, Mycobacterium, Arthrobacter and Bacillus. A natural biodegradable product and bacterial inoculum were used for total petroleum hydrocarbon (TPH) removal from an artificial polluted soil. For soil polluted with 5% crude oil, the bacterial top, including those placed in the soil by inoculation was 30 days after impact, respectively 7 days after inoculum application, while in soil polluted with 10% crude oil,  multiplication top of bacteria was observed in the determination made at 45 days after impact and 21 days after inoculum application, showing once again how necessary is for microorganisms habituation and adaptation to environment being a function of pollutant concentration. The microorganisms inoculated showed a slight adaptability in soil polluted with 5% crude oil, but complete inhibition in the first 30 days of experiment at 10% crude oil

A Corpus of Potentially Contradictory Research Claims from Cardiovascular Research Abstracts

Background: Research literature in biomedicine and related fields contains a huge number of claims, such as the effectiveness of treatments. These claims are not always consistent and may even contradict each other. Being able to identify contradictory claims is important for those who rely on the biomedical literature. Automated methods to identify and resolve them are required to cope with the amount of information available. However, research in this area has been hampered by a lack of suitable resources. We describe a methodology to develop a corpus which addresses this gap by providing examples of potentially contradictory claims and demonstrate how it can be applied to identify these claims from Medline abstracts related to the topic of cardiovascular disease. Methods A set of systematic reviews concerned with four topics in cardiovascular disease were identified from Medline and analysed to determine whether the abstracts they reviewed contained contradictory research claims. For each review, annotators were asked to analyse these abstracts to identify claims within them that answered the question addressed in the review. The annotators were also asked to indicate how the claim related to that question and the type of the claim. Results: A total of 259 abstracts associated with 24 systematic reviews were used to form the corpus. Agreement between the annotators was high, suggesting that the information they provided is reliable. Conclusions: The paper describes a methodology for constructing a corpus containing contradictory research claims from the biomedical literature. The corpus is made available to enable further research into this area and support the development of automated approaches to contradiction identification