Access to scientific literature information is a very important, as well as time-consuming daily work for scientific researchers. However, more and more literatures are available. It imposes a challenge to literature database. Current literature system mainly pays attention to a few explicit relationship among literature entities. In this paper, we present SemreX – a semantic association based ...

Assessing the degree of semantic relatedness between words is an important task with a variety of semantic applications, such as ontology learning for the Semantic Web, semantic search or query expansion. To accomplish this in an automated fashion, many relatedness measures have been proposed. However, most of these metrics only encode information contained in the underlying corpus and thus do ...

This paper describes the SDC PUNDIT, (Prolog UNDerstands Integrated Text), system for processing natura l language messages. 1 PUNDIT, written in Prolog, is a highly modular system consisting of distinct syntactic, semantic and pragmatics components. Each component draws on one or more sets of data, including a lexicon, a broad-coverage grammar of EngLish, semantic verb decompositions, rules ma...

The millions of web pages populating the internet seem to be unstructured and chaotic, but there are implicit semantic relations between them. In this paper we propose to make explicit the underlying semantic structure of the internet, by measuring joint keyword occurrences in web pages, around our notion of “Semantic Contexts”. As a result, we can draw a “map” of semantic clusters which can be...

Six different talking heads have been evaluated in two consecutive experiments. Two text-to-speech components and three head components have been used. Results from semantic differentials show a clear preference for the most human-like and expressive head. The analysis of the semantic differentials reveals three factors each. These factors show different patterns for the head components. Overal...

This paper describes new two obfuscation methods the fist method can control computational complexity and the second method can achieve semantic obfuscation. The computational complexity can be strictly controlled by using the technique of RSA encryption. The computational complexity can be arbitrarily specified by the impossibility of factorization of prime number in RSA encryption method. Sem...

The current article was an attempt to investigate the effect of semantic mapping strategy instruction on reading comprehension performance of EFL learners. To this end, thirty homogeneous Iranian intermediate EFL learners attending a language school in Bonab, Iran, were randomly assigned to two groups, one as the experimental and the other as the control. The experimental group received instruc...

Much experimental work in psycholinguistics suggests that fully specified syntactic and semantic interpretations are obtained incrementally. The finding that intepretation takes place incrementally is very robust and underlies our own view of sentence processing as well; however, most of this work tends to test very simple interpretive judgments, and using materials which have very clean-cut in...

This paper introduces the Non-negative Matrix Factorization for Language Model adaptation. This approach is an alternative to Latent Semantic Analysis based Language Modeling using Singular Value Decomposition (SVD) with several benefits. A new method, which does not require an explicit document segmentation of the training corpus is presented as well. This method resulted in a perplexity reduc...