Text categorization is an interesting problem in artificial intelligence that gets more and more attention from researchers and industry. One central problem of text categorization is the selection of a good feature set. We propose a novel method for term selection for each category based on segmenting the documents belonging to a category into cohesive sub-parts that define the subtopics of th...

In multimodal documents, different types of cohesive or cross-reference link (i.e., signaling) are used in the text to link verbally coded content with the graphical material. In this study, we identify three types of reference, within the framework of previous work on cohesion (Halliday & Hasan, 1976): directive signaling, descriptive signaling, and no signaling in the text to introduce the fi...

This paper presents the integration of cohesive properties of text with coherence relations, to obtain an adequate representation of text for automatic summarization. A summarizer based on Lexical Chains is enchanced with rhetorical and argumentative structure obtained via Discourse Markers. When evaluated with newspaper corpus, this integration yields only slight improvement in the resulting s...

Today, many media to large companies are starting invest English skills in their employees, including Pura Smart Technology (PST). This research aims find out the use of cohesive lexical devices, grammatical correctness device uses, and correlation descriptive text writing participants. The researcher took eleven employees as analyzed data with Halliday & Hasan's theory, Coh-Metrix 3.0, Spe...

Topic models have been successfully applied to many document analysis tasks to discover topics embedded in text. However, existing topic models generally cannot capture the latent topical structures in documents. Since languages are intrinsically cohesive and coherent, modeling and discovering latent topical transition structures within documents would be beneficial for many text analysis tasks...

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...

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...

Students learned toy assembly sequences presented in picture, text, or one of three multimedia formats, and completed order verification, recall, and object assembly tasks. Experiment 1 compared repetitious (i.e. dual format presentations each conveying similar information) with complementary (i.e. dual format presentations each conveying different information) multimedia presentations. Repetit...

"rhis paperI presents a computational method for the recognition of the cohesive and coherence structures of texts. A large lexieal knowledge base built oil top of WordNet provides with the lexico-senmntic information that needs to be mined. A path-finding algorittam returns tim cot~esive structure of a text with results that outperform previous api~roaches. The Icxical paths contained in the c...

A wide variety of resource management problems of recent interest, including power/rate control, link scheduling, cross-layer control, network utility maximization, beamformer design of multiple-input multiple-output networks, and many others are directly or indirectly reliant on the weighted sum-rate maximization (WSRMax) problem. In general, this problem is very difficult to solve and is NP-h...