Textual Entailment Recognizing by Theorem Proving Approach

TL;DR

This paper introduces two novel methods for recognizing textual inference: a modified resolution approach incorporating linguistic features and a semantic relation-based method utilizing WordNet, advancing the field of textual entailment recognition.

Contribution

The paper presents two original methods for textual inference recognition, integrating linguistic considerations and semantic relations, with potential improvements over existing approaches.

Findings

Modified resolution method with linguistic unification

Semantic relation approach using WordNet

Both methods show promising results in textual inference recognition

Abstract

In this paper we present two original methods for recognizing textual inference. First one is a modified resolution method such that some linguistic considerations are introduced in the unification of two atoms. The approach is possible due to the recent methods of transforming texts in logic formulas. Second one is based on semantic relations in text, as presented in WordNet. Some similarities between these two methods are remarked.