PURPOSE Adenosis lesions of the breast, including sclerosing adenosis and adenosis tumors, are a group of benign proliferative disorders that may mimic the features of malignancy on imaging. In this study, we aim to describe the features of breast adenosis lesions with suspicious or borderline findings on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). METHODS In our database,...

In this paper we investigate the relation between positive and negative pairs in Textual Entailment (TE), in order to highlight the role of contradiction in TE datasets. We base our analysis on the decomposition of Text-Hypothesis pairs into monothematic pairs, i.e. pairs where only one linguistic phenomenon at a time is responsible for entailment judgment and we argue that such a deeper inspec...

Este artículo tiene como objetivo presentar cómo el software IRaMuTeQ puede ayudar en los procedimientos iniciales del Análisis Textual Discursivo, hasta la etapa de emergencia categorías. Para ello, se utilizó un corpus textual compuesto por resúmenes (14 tesis y 63 disertaciones) que abordan resolución problemas Educación Matemática, ubicado a través una búsqueda Biblioteca Digital Brasileña ...

-

En este trabajo comparamos la edición de los Romances Históricos, Ángel Saavedra, duque Rivas, en formato libro: primera fue 1841 París y Madrid, pero partimos las Obras Completas 1854-1855, con que se publicaron prensa: Revista Liceo Artístico Literario Español, El Panorama... Este contraste nos permite observar cambios introdujeron (crítica textual).

The variability of semantic expression is a special characteristic of natural language. This variability is challenging for many natural language processing applications that try to infer the same meaning from different text variants. In order to treat this problem a generic task has been proposed: Textual Entailment Recognition. In this paper, we present a new Textual Entailment approach based...

This paper introduces the methods employed by University of Houston team participating in the CL-SciSumm 2017 Shared Task at BIRNDL 2017 to identify reference spans in a reference document given sentences from citing papers. The following approaches were investigated: structural correspondence learning, positional language models, and textual entailment. In addition, we refined our methods from...

We propose new parse-free event-based features to be used in conjunction with lexical, syntactic, and semantic features of texts and hypotheses for Machine Learning-based Recognizing Textual Entailment. Our new similarity features are extracted without using shallow semantic parsers, but still lexical and compositional semantics are not left out. Our experimental results demonstrate that these ...