When two texts have an inclusion relation, the relationship between them is called entailment. The task of mechanically distinguishing such a relation is called recognising textual entailment (RTE), which is basically a kind of semantic analysis. A variety of methods have been proposed for RTE. However, when the previous methods were combined, the performances were not clear. So, we utilized ea...

The present study was carried out with the purpose of examining the role of metaphorical language in the critical discourse analysis (CDA) of political texts based on a modern framework postulated by Kövecses (2015). The corpus of the study consisted of thirty-thousand words chosen as a textual sample to see which source conceptual domains are used and what generic/discursive attributes emerge ...

The present corpus-based study addressed the strategies applied in translating the cultural elements (CEs) of the Iranian ‘resistance’ literature into English. The corpus comprised Chess with the Doomsday Machine, Eternal Fragrance, and Fortune Told in Blood translated by Sprachman, Omidvar, and Ghanoonparvar, re- spectively. The Persian books and their English translations were analyzed on thr...

In 2008 the Recognizing Textual Entailment Challenge (RTE-4) was proposed for the first time as a track at the Text Analysis Conference (TAC). Another important innovation introduced in this campaign was a three-judgment task, which required the systems to make a further distinction between pairs where the entailment does not hold because the content of H is contradicted by the content of T, an...

After defining what is understood by textual entailment and semantic equivalence, the present state and the desirable future of the systems aimed at recognizing them is shown. A compilation of the currently implemented techniques in the main Recognizing Textual Entailment and Semantic Equivalence systems is given.

There are fewer resources for textual entailment (TE) for Arabic than for other languages, and the manpower for constructing such a resource is hard to come by. We describe here a semi-automatic technique for creating a first dataset for TE systems for Arabic using an extension of the ‘headline-lead paragraph’ technique. We also sketch the difficulties inherent in volunteer annotators-based jud...

This paper provides a brief description of the system for recognizing textual entailment (RTE) Language Computer Corporation (LCC) used in the 2008 TAC RTE-4 Evaluation. Our RTE-4 work follows our previous work (Hickl and Bensley, 2007; Bensley and Hickl, 2008; Hickl, 2008) in using a pipeline of lightweight, largely statistical systems for commitment extraction, lexical alignment, and entailme...

This paper covers the recognition of textual entailment by means of different approaches based on lexical similarities and syntactic trees. These approaches are easily portable to other languages. We present the achieved results for each individual approach and we propose a simple voting strategy between these approaches and our previous system (presented in Second PASCAL Recognising Textual En...