Este artigo baseia-se em uma pesquisa que culminou tese de doutorado sobre a relação entre compreensão leitora, consciência textual e escritura argumentativa, pautando-se especialmente postulados psicolinguísticos. Nesse sentido, buscou-se contribuir para o aprimoramento práticas pedagógicas concernentes à leitura produção textual, considerando importante papel exerce nesse processo. A objetivo...

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...

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...