In the last few years, a number of NLP researchers have developed and participated in the
task of Recognizing Textual Entailment (RTE). This task encapsulates Natural Language …

This paper presents the Excitement Open Platform (EOP), a generic architecture and a
comprehensive implementation for textual inference in multiple languages. The platform …

This paper presents the QALL-ME Framework, a reusable architecture for building multi-and
cross-lingual Question Answering (QA) systems working on structured data modelled by an …

Semantic inference is an important component in many natural language understanding
applications. Classical approaches to semantic inference rely on complex logical …

We present a novel approach to RTE that exploits a structure-oriented sentence
representation followed by a similarity function. The structural features are automatically …

Determining the textual entailment between texts is important in many NLP tasks, such as
summarization, question answering, and information extraction and retrieval. Various …

The utilization of social media material in journalistic workflows is increasing, demanding
automated methods for the identification of mis-and disinformation. Since textual …

While Wikipedia has been utilized for fact-checking and claim verification to debunk
misinformation and disinformation, it is essential to either improve article quality and rule out …

Entailment recognition approaches are useful for application domains such as information
extraction, question answering or summarisation, for which evidence from multiple …

In this paper, we first compare several strategies to handle the newly proposed three-way
Recognizing Textual Entailment (RTE) task. Then we define a new measurement for a pair …