This paper describes a pilot study to evaluate human analysts’ ability to identify the argumentation scheme and premises of an argument having an implicit conclusion. In preparation for the study, argumentation scheme definitions were crafted for genetics research articles. The schemes were defined in semantic terms, following our proposal to use semantic rules to mine arguments in that literat...

Trivia is any fact about an entity which is interesting due to its unusualness, uniqueness or unexpectedness. Trivia could be successfully employed to promote user engagement in various product experiences featuring the given entity. A Knowledge Graph (KG) is a semantic network which encodes various facts about entities and their relationships. We propose a novel approach called DBpedia Trivia ...

Background Chile and Colombia are examples of Latin American countries with health systems shaped by similar values. Recently, both countries have crafted policies to regulate the participation of private for-profit insurance companies in their health systems, but through very different mechanisms. This study asks: what values are i...

Abstract This paper describes a Lesson Study in which in-service mathematics secondary-school teachers, collaborating with researchers, involve grade 10 students tessellation problems. The data are collected by an experiment carried out the context of “Liceo Matematico” project, three volunteer teachers. goal was to craft collaborative design research lesson between teachers and researchers. ai...

In this paper, we propose a new approach for automatic music genre classification which relies on learning a feature hierarchy with a deep learning architecture over hand-crafted feature extracted from an audio signal. Unlike the state-of-the-art approaches, our scheme uses an unsupervised learning algorithm based on Deep Belief Networks (DBN) learnt on block-wise MFCC (that we treat as 2D imag...

This paper describes our submission to SemEval 2014 Task 41 (aspect based sentiment analysis). The current work is based on the assumption that it could be advantageous to connect the subtasks into one workflow, not necessarily following their given order. We took part in all four subtasks (aspect term extraction, aspect term polarity, aspect category detection, aspect category polarity), using...

Since the convolutional neural network (CNN) is believed to find right features for a given problem, the study of hand-crafted features is somewhat neglected these days. In this paper, we show that finding an appropriate feature for the given problem may be still important as they can enhance the performance of CNN-based algorithms. Specifically, we show that feeding an appropriate feature to t...

Chinese word segmentation is the first step in any Chinese NLP system. This paper presents a new algorithm for segmenting Chinese texts without making use of any lexicon and hand-crafted linguistic resource. The statistical data required by the algorithm, that is, mutual information and the difference of t-score between characters, is derived automatically from raw Chinese corpora. The prelimin...