today, with rapid growth of the world wide web and creation of internet sites and online text resources, text summarization issue is highly attended by various researchers. extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. when, we are facing into large data volume documents, the extr...

    Given the increasing number of documents, sites, online sources, and the users’ desire to quickly access information, automatic textual summarization has caught the attention of many researchers in this field. Researchers have presented different methods for text summarization as well as a useful summary of those texts including relevant document sentences. This study select...

The influence of operating conditions to the effectiveness of extractive distillation process was investigated by using the method of gas chromatography. The experiment took place on an industrial vacuum plant of purification ethanol from impurities formed during fermentation. It is obtained that the concentration of different micro impurities at the selection zones depends on the temperature a...

Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. When, we are facing into large data volume documents, the extr...

high performance liquid chromatography coupled with photodiode array detector (hplc-dad) has been reported to quantify isolated flavonoids or these compounds in complex biological matrices, such as chinese herbal drugs and products from factories. this work was designed, therefore, to develop an hplc-dad system to separate quercetin, luteolin and apigenin and to quantify them in extractive solu...

Social media such as Twitter have become an important method of communication, with potential opportunities for NLG to facilitate the generation of social media content. We focus on the generation of indicative tweets that contain a link to an external web page. While it is natural and tempting to view the linked web page as the source text from which the tweet is generated in an extractive sum...

We present a hybrid method to generate summaries of product and services reviews by combining natural language generation and salient sentence selection techniques. Our system, STARLET-H, receives as input textual reviews with associated rated topics, and produces as output a natural language document summarizing the opinions expressed in the reviews. STARLET-H operates as a hybrid abstractive/...

Text Summarization is condensing the source text into a shorter version preserving its information content and overall meaning. It is very difficult for human beings to manually summarize large documents of text. Text Summarization methods can be classified into extractive and abstractive summarization. An extractive summarization method consists of selecting important sentences, paragraphs etc...

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...

In some previous work, we have presented a software tool for experimenting with well known methods for text summarization. The methods offered are belonging to the extractive summarization direction. These methods do not understand the meaning in order to condense the text but simply extract a subset of the original sentences which are the most (promising as being) relevant for expressing short...