Automatic text summarization is a process to reduce the volume of text documents using computer programs to create a text summary with keeping the key terms of the documents. Due to cumulative growth of information and data, automatic text summarization technique needs to be applied in various domains. The approach helps in decreasing the quantity of the document without changing the context of...

Automatic text summarization takes an input text and extracts the most important content in the text. Determining the importance of information depends on several factors. In this paper, we combine two different approaches that have been used in the text summarization domain. The first one is using genetic algorithms to learn the patterns in the documents that lead to the summaries. The other o...

We propose Hidden Markov models with unsupervised training for extractive summarization. Extractive summarization selects salient sentences from documents to be included in a summary. Unsupervised clustering combined with heuristics is a popular approach because no annotated data is required. However, conventional clustering methods such as K-means do not take text cohesion into consideration. ...

Abstract
 This paper shows the linguistic aspect in term of discourse analysis lyrics song. Those aspects are cohesion device and grammatical cohesion. Cohesion devices divided into two descriptions, those are; lexical devices. Grammatical contains reference, ellipsis, substitution, conjunction while collocation reiteration. research analyzes from soloist band namely Alec Benjamin entitle ...

We present a domain-independent topic segmentation algorithm for multi-party speech. Our feature-based algorithm combines knowledge about content using a text-based algorithm as a feature and about form using linguistic and acoustic cues about topic shifts extracted from speech. This segmentation algorithm uses automatically induced decision rules to combine the different features. The embedded...

The paper presents the LinkedTV approaches for the Search and Hyperlinking (S&H) task at MediaEval 2014. Our submissions aim at evaluating 2 key dimensions: temporal granularity and visual properties of the video segments. The temporal granularity of target video segments is defined by grouping text sentences, or consecutive automatically detected shots, considering the temporal coherence, the ...

This study investigates the importance of human evaluations of coherence in predicting human judgments of holistic essay quality. Of secondary interest is the potential for computational indices of cohesion and coherence to model human judgments of coherence. The results indicate that human judgments of coherence are the most predictive features of holistic essay scores and that computational i...

This pilot empirical study examined the deficiency of textual cohesion and coherence reflected in genre-based English abstract production of the engineering discourse by most Chinese English as a Foreign Language (EFL) advanced learners, using cohesive theory, text linguistics, and intercultural theory as the theoretical framework. The problems were addressed typically from the perspective of i...

Syntactic simplification is the process of reducing the grammatical complexity of a text, while retaining its information content and meaning. The aim of syntactic simplification is to make text easier to comprehend for human readers, or process by programs. In this paper, we formalise the interactions that take place between syntax and discourse during the simplification process. This is impor...

Being a configuration of logically interconnected statements realized in moves and stages, an argumentative essay is built around the notion textual unity achieved through lexico-grammar semantic associations. The study attempted to analyze role cohesion rhetorical structure undergraduate EFL students. Hence, 13 three-stage argument were analyzed on preset framework analysis. Discourse analysis...