Automatic keyword extraction is an important subfield of information extraction process. It is a difficult task, where numerous different techniques and resources have been proposed. In this paper, we propose a generic approach to extract keyword from documents using encyclopedic…

Here, we address the task of assigning relevant terms to thematically and semantically related sub-corpora and achieve superior results compared to the baseline performance. Our results suggest that more reliable sets of keyphrases can be assigned to the semantically and…

There is a great deal of knowledge in online environments such as forums, chats and blogs. A large volume of comments with different subjects on a page has created a lot of complexity in following the actual conversation streams, since…

In recent years in Mexico and around the world, the scientific community has shown great interest in acquiring knowledge regarding the behavior of extreme climate events due to their increasing number and intensity. The objective of this research was to…

This paper reviews the various aspects of chlorine compounds in the stratosphere, both their roles as reactants and as tracers of dynamical processes. In the stratosphere, reactive chlorine is released from chlorofluorocarbons and other chlorine-containing organic source gases. To a…

This paper addresses some lexical issues in the development of XUNL - a knowledge representation language descendent from and alternative to the Universal Networking Language (UNL). We present the current structure and the role of Universal Words (UW) in UNL…

The necessity of verification tools for Knowledge Based-Systems (KBSs), that help to guarantee a certain degree of quality and reliability of these systems will increase in the future when more critical systems are developed in areas such as industry, science,…

Translation capability of a Phrase-Based Statistical Machine Translation (PBSMT) system mostly depends on parallel data and phrases that are not present in the training data are not correctly translated. This paper describes a method that efflciently expands the existing knowledge…

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The paper describes an application of indexing-the technology currently widely used for processing and comparing textual information-to multi-dimensional entities of knowledge domains. We propose a model for building a frame-based ontology, which contains a domain conceptual model as well as…