this research is intended to present an elucidation of interaction between textual context and circumstantial context while comprehending the text. this interaction is maintained in a specific hermeneutic circle of comprehending the text. the qur’ān is divine word and has characteristics that demands hermeneutic circle proportionate to it. therefore, in this research the characteristics influen...

Textual Case-Based Reasoning (CBR) is not simply Information Retrieval (IR) of text documents which happen also to be cases. Nor does it involve only techniques for automatically determining what cases represented as texts are about or techniques for automatically indexing such cases under relevant features. Textual CBR is still case-based reasoning, and for us, that means drawing inferences ab...

Previous research has shown the inadequacy of models for computing similarity that rely on any type of simple combination of features. Human similarity judgments are sensitive to the structure of the items being compared. For visual stimuli, the spatial arrangement of the items provides an obvious structure. For textual stimuli, however, the structure of the items must be inferred. Prior resear...

XML is becoming this few years the standard of data exchange in the Web and a new data description language. Consequently, in a Data Mining context, optimizing storage and access time to XML documents is becoming a new challenge. Indeed, for mining XML documents we have to parse them in order to obtain a tree data structure in RAM memory. This tree structure is more flexible and have a beter ti...

Just as the structure of any system degrades over time as it evolves & becomes more complicated, software systems are no exception to this. A particular aspect of software systems is its exception handling mechanism which also tends to get dirty with time. Jex, a tool developed by Martin Robillard at University of British Columbia is a static analyzer that extracts exception flow information fr...

In this paper, we present our system description in task of Cross-lingual Textual Entailment. The goal of this task is to detect entailment relations between two sentences written in different languages. To accomplish this goal, we first translate sentences written in foreign languages into English. Then, we use EDITS, an open source package, to recognize entailment relations. Since EDITS only ...

For textual entailment recognition systems, it is often important to correctly handle Generalized quantifiers (GQ). In this paper, we explore ways of encoding GQs in a recent framework of Dependency-based Compositional Semantics, especially aiming to correctly handle linguistic knowledge like hyponymy when GQs are involved. We use both the selection operator mechanism and a new relation extensi...

We introduce a novel type of graphs for NLP – Textual Entailment Graphs (TEG). We present the first gold-standard dataset of TEGs, describe a methodology we developed for their construction and evaluate state-of-the-art RTE engines for this task. We show the utility of TEGs for text exploration and suggest that TEGs might have different usages and that their automatic creation is an interesting...

This paper describes the CLEAR team’s submission to the 2008 Text Analysis Conference under the Recognizing Textual Entailment track. The system breaks text fragments down into fine-grained semantic facets and performs entailment recognition on these. We show that, in the relevant subset of the data, we can achieve 90% accuracy in pinpointing the specific facet of a hypothesis that is not entai...