An abstract is the most crucial element that may convince readers to read the complete text of a scientific publication. However, studies show that in terms of organization, readability, and style, abstracts are also among the most troublesome parts of the pertinent manuscript. The ultimate goal ...
The LSA process starts with the construction of a term-sentence matrix (n by m), where each row represents a word from the input (n-words), and each column represents a sentence(m sentences). In the matrix, the weight of the word i in sentence j is defined by the entry aij. ...
Weighted Term FrequencyIn the recent few years, a lot of advancement has been made in Urdu linguistics. There are many portals and news websites that are generating a huge amount of data every day. However, there is still no publicly available dataset nor any framework available for automatic...
We assume that the single-sentence questions are mostly self-contained questions, and can function as a summary (or title), while the individual sentences in long multi-sentence questions are not. Thus, we use a classifier to determine how likely it is that a sentence is similar to a ...
Automatic text summarization (ATS) extracts information from a source text and presents it to the user in a condensed form while preserving its primary content. Many text summarization approaches have been investigated in the literature for highly resourced languages. At the same time, ATS is a co...
Once the terms are defined, a term-sentence matrix is formed. The job of the automatic summarization system is to choose a small subset of these vectors to cover the main ideas (terms) in the document. The QR Matrix Decomposition iteratively chooses the vector with the largest weight. Then ...
A Gaby - 《Language & Linguistics Compass》 被引量: 1发表: 2010年 International Human Rights Norms nternational Human Rights is the definitive work on the subject area providing its reader with a comprehensive analysis of this wide and diverse subject ar... R Lallah - Aspen Publishers, 被引量...
We propose a broad set of features that considers additional features in the fitness function. Keywords Evolutionary; Genetic; Features; Weights; Extractive; Summarization; Term Frequency ; References [1] A. Abuobieda, N. Salim, M.S. Binwahlan, A.H. Osman Differential evolution ...
The main idea of this paper is to rank Maximal Frequent Sequences (MFS) in order to identify the most important information in a text. MFS are considered as nodes of a graph in term selection step, and then are ranked in term weighting step using a graph-based algorithm. We show that ...
The main idea of this paper is to rank Maximal Frequent Sequences (MFS) in order to identify the most important information in a text. MFS are considered as nodes of a graph in term selection step, and then are ranked in term weighting step using a graph-based algorithm. We show that ...