The macroscopical characters of the leaves, leaf constants, physico-chemical constants, extractive values, colour, consistency, pH, extractive values with different solvents, micro chemical test, fluorescence characters of liquid extracts and leaf powder after treatment with different chemical reagents under visible and UV light at 254mn, measurement of cell and tissues were studied to fix some...

We present a new method to generate extractive multi-document summaries. The method uses Integer Linear Programming to jointly maximize the importance of the sentences it includes in the summary and their diversity, without exceeding a maximum allowed summary length. To obtain an importance score for each sentence, it uses a Support Vector Regression model trained on human-authored summaries, w...

Extractive summarization is the strategy of concatenating extracts taken from a corpus into a summary, while abstractive summarization involves paraphrasing the corpus using novel sentences. We define a novel measure of corpus controversiality of opinions contained in evaluative text, and report the results of a user study comparing extractive and NLG-based abstractive summarization at differen...

Sentence compression has attracted much interest in recent years, but most sentence compressors are extractive, i.e., they only delete words. There is a lack of appropriate datasets to train and evaluate abstractive sentence compressors, i.e., methods that apart from deleting words can also rephrase expressions. We present a new dataset that contains candidate extractive and abstractive compres...

In this paper we address two key challenges for extractive multi-document summarization: the search problem of finding the best scoring summary and the training problem of learning the best model parameters. We propose an A* search algorithm to find the best extractive summary up to a given length, which is both optimal and efficient to run. Further, we propose a discriminative training algorit...

Supervised methods for extractive speech summarization require a large training set. Summary annotation is often expensive and time consuming. In this paper, we exploit semi-supervised approaches to leverage unlabeled data. In particular, we investigate co-training for the task of extractive meeting summarization. Compared with text summarization, speech summarization task has its unique charac...

Since many existing systems have been still working even these system have several problems in extending or maintaining. This is big obstacle for company to adopt the product line engineering. Extractive approach can be alternative approach when the company has their own system and adopt product line engineering. In extractive approach, commonality and variability modeling is critical also. In ...

In this paper we tackle the problem of automatic caption generation for news images. Our approach leverages the vast resource of pictures available on the web and the fact that many of them are captioned. Inspired by recent work in summarization, we propose extractive and abstractive caption generation models. They both operate over the output of a probabilistic image annotation model that prep...

In this study, the development of Lasioderma serricorne (F.) (Coleoptera: Anobiidae) was investigated on five different foods (Mentha piperita, Thymus vulgaris, Salvia officinalis, Rosmarinus, officinalis and flour). Trials were carried out at a temperature 28±2°C 70-75% relative humidity. Effects adult longevity egg hatching ratio investigated. As result, all larvae left Rosmarinus plant have ...

Antibacterial Effect of Alcoholic Extracts the Eugenia Caryophyllata, Rosmarinus Officinalis, Hibiscus sabdariffa, Camellia sinensis, and Mentha Pulegium Plants on Some Bacteria in Oral Cavity: A Laboratory Study