(TE) and evaluate the contribution of an algorithm that expands a monolingual TE corpus that seems promising for the task of CLTE. We built a CLTE corpus and we report a procedure that can be used to create a CLTE corpus in any pair of languages. We also report the results obtained in our experiments with the three-way classification task for CLTE and we show that this result outperform the ave...

This paper describes the PASCAL Network of Excellence first Recognising Textual Entailment (RTE-1) Challenge benchmark. The RTE task is defined as recognizing, given two text fragments, whether the meaning of one text can be inferred (entailed) from the other. This application-independent task is suggested as capturing major inferences about the variability of semantic expression which are comm...

This research aims to study the relationship between textual objection and its contingent structure or in text general of speech, this deals with tools that achieve harmony cohesion represented by referral, deletion, linkage, replacement, repetition addressing a number noble Qur’anic verses which it occurred. The semantic syntactic effects result from objection.

As qualitative research has evolved, researchers now often combine interviews with the production of photographs, artefacts, collages, maps or drawings and like. However, in practice, artefacts produced are used to eliciting experiences stimulating conversations rather than as data, per se, which is due lack guidelines for how deal data a systematic analytical process. In this article, we prese...

We present the first freely available large German dataset for Textual Entailment (TE). Our dataset builds on posts from German online forums concerned with computer problems and models the task of identifying relevant posts for user queries (i.e., descriptions of their computer problems) through TE. We use a sequence of crowdsourcing tasks to create realistic problem descriptions through summa...

The textual entailment system determines whether one sentence entails another in common sense. This is the second time of a RITE task in NTCIR projects. Three different subtasks, BC, MC, and RITE4QA, were held this time. We proposed several new features, and tried to construct RITE systems by using binaryor multi-class classifiers. After correcting errors in our submitted runs, our best (unoffi...

We present an approach to textual entailment recognition, in which inference is based on a shallow semantic representation of relations (predicates and their arguments) in the text and hypothesis of the entailment pair, and in which specialized knowledge is encapsulated in modular components with very simple interfaces. We propose an architecture designed to integrate different, unscaled Natura...

In this paper we describe the PeMoZa system participating to the fourth Recognizing of Textual Entailment (RTE) challenge. The major novelties with respect to our systems of the RTE3 challenge is the exploration on combining different data sets, coming from different challenges and from automatically acquired corpora.

This paper describes BIUTEE Bar Ilan University Textual Entailment Engine. BIUTEE is a natural language inference system in which the hypothesis is proven by the text, based on linguisticand worldknowledge resources, as well as syntactically motivated tree transformations. The main progress in BIUTEE in the last year is a new confidence model that estimates the validity of the proof found by BI...