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 …

We describe Dispute Finder, a browser extension that alerts a user when information they
read online is disputed by a source that they might trust. Dispute Finder examines the text on …

Abstract Recognizing Textual Entailment (RTE) is a fundamentally important task in natural
language processing that has many applications. The recently released Stanford Natural …

Abstract Dependency-based Compositional Semantics (DCS) is a framework of natural
language semantics with easy-to-process structures as well as strict semantics. In this paper …

This paper explores the use of bilingual parallel corpora as a source of lexical knowledge for
cross-lingual textual entailment. We claim that, in spite of the inherent difficulties of the task …

In this paper, we describe an approach based on off-the-shelf parsers and semantic
resources for the Recognizing Textual Entailment (RTE) challenge that can be generally …

Previous work on paraphrase extraction using parallel or comparable corpora has generally
not considered the documents' discourse structure as a useful information source. We …

We present a novel paraphrase fragment pair extraction method that uses a monolingual
comparable corpus containing different articles about the same topics or events. The …

Automatic acquisition of inference rules for predicates has been commonly addressed by
computing distributional similarity between vectors of argument words, operating at the word …

A major problem in research on Textual Entailment (TE) is the high implementation effort for
TE systems. Recently, interoperable standards for annotation and preprocessing have been …