This paper describes our system of recognizing textual entailment for RITE Traditional and Simplified Chinese subtasks at NTCIR10. We build a textual entailment recognition framework and implement a system that employs features of three categories, including string, structure and linguistic features, for the recognition. In addition, an entailment transformation approach is leveraged to align t...

Background: The present research gives insights about Textual Data analytics of “Mann Ki Baat” – a monthly radio programme hosted by Shri. Narendra Modi, the Prime Minister India on All Radio. Using techniques textual data analytics, an analytical framework is designed in this paper. Methods: outline applied to corpus twelve (12) episodes Mann Baat 2.0 (March 2020 February 2021, after nationwid...

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 ...