نتایج جستجو برای: extractive method

تعداد نتایج: 1632745  

2017
Kajal Singh Preety S. Gedam Atulkumar N. Raut Pradip B. Dhamole P. K. Dhakephalkar Dilip R. Ranade

Extractive butanol fermentation with non-ionic surfactant, a recently explored area, has shown promising results with several advantages but is relatively less investigated. This work reports the extractive fermentation with selected non-ionic surfactants (L62 and L62D) to enhance butanol production using a high-butanol producing strain (Clostridium beijerinckii MCMB 581). Biocompatibility stud...

Journal: :CoRR 2017
Shashi Narayan Nikos Papasarantopoulos Mirella Lapata Shay B. Cohen

Most extractive summarization methods focus on the main body of the document from which sentences need to be extracted. However, the gist of the document may lie in side information, such as the title and image captions which are often available for newswire articles. We propose to explore side information in the context of single-document extractive summarization. We develop a framework for si...

2017
Gong Chen Qi Bei Tao Huang Zhenqiang Wu

BACKGROUND Monascus pigments are promising sources for food and medicine due to their natural food-coloring functions and pharmaceutical values. The innovative technology of extractive fermentation is used to promote pigment productivity, but reports of pigment trans-membrane secretion mechanism are rare. In this study, tracking of pigment accumulation and secretion in extractive fermentation o...

2008
Sameer Maskey Andrew Rosenberg Julia Hirschberg

Extractive speech summarization approaches select relevant segments of spoken documents and concatenate them to generate a summary. The extraction unit chosen, whether a sentence, syntactic constituent, or other segment, has a significant impact on the overall quality and fluency of the summary. Even though sentences tend to be the choice of most the extractive speech summarizers, in this paper...

2010
Ryuichiro Higashinaka Yasuhiro Minami Hitoshi Nishikawa Kohji Dohsaka Toyomi Meguro Satoshi Takahashi Gen-ichiro Kikui

This paper proposes a novel extractive summarization method for contact center dialogues. We use a particular type of hidden Markov model (HMM) called Class Speaker HMM (CSHMM), which processes operator/caller utterance sequences of multiple domains simultaneously to model domain-specific utterance sequences and common (domainwide) sequences at the same time. We applied the CSHMM to call summar...

2016
Ting Huyan Ruihua Tang Jing Li Yaxiong Liu Hui Yang Qi Li

To study the chemical constituents of Piper wallichii (Miq.) Hand.-Mazz., and to explore the effects of extractive on proliferation and telomerase activity of human tongue squamous cell carcinoma Tca83 cells and its anti-cancer mechanisms. Sephadex LH-20 and several other column chromatography techniques were employed for separation of chemical constituents from Piper wallichii (Miq.) Hand.Mazz...

Journal: :The Journal of General Physiology 1938
Aurin M. Chase Charles Haig

The absorption spectra of visual purple solutions extracted by various means were measured with a sensitive photoelectric spectrophotometer and compared with the classical visual purple absorption spectrum. Hardening the retinas in alum before extraction yielded visual purple solutions of much higher light transmission in the blue and violet, probably because of the removal of light-dispersing ...

2009
Gongfu Peng Yanxiang He Ye Tian Yingsheng Tian Weidong Wen

In this paper, we present a practical method of sentence ordering in extractive multi-document summarization tasks of Chinese language. By using Support Vector Machine (SVM), we classify the sentences of a summary into several groups in rough position according to the source documents. Then we adjust the sentence sequence of each group according to the estimation of directional relativity of ad...

2007
Kaustubh Raosaheb Patil Pavel Brazdil

This thesis describes an automatic text summarization system based on graph-theory. Summaries are useful indicators of the document content. Traditionally summaries are created by humans by reading the text and identifying the important points in the text. So called information-overload makes such manual work very difficult (if not impossible). Many attempts have been made to automate the summa...

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