Abstract Stance detection (StD) aims to detect an author’s stance towards a certain topic and has become key component in applications like fake news detection, claim validation, or argument search. However, while is easily detected by humans, machine learning (ML) models are clearly falling short of this task. Given the major differences dataset sizes framing StD (e.g. number classes inputs), ...

This work explores the utility of sentiment and arguing opinions for classifying stances in ideological debates. In order to capture arguing opinions in ideological stance taking, we construct an arguing lexicon automatically from a manually annotated corpus. We build supervised systems employing sentiment and arguing opinions and their targets as features. Our systems perform substantially bet...

the patents’ term prolongation through protecting the new detected uses is the problematic matter that has been seriously attended by the developed countries in recent years. iranian legislators’ uncertainty toward the subject within the respective legislatures illustrates the legal importance of taking a stance, which is consistent with the primary principles of patent law and international ob...

In this study, we examined the role of context knowledge in data analysis tasks and investigated the interplay between students’ use of context knowledge and statistical knowledge. Findings showed that knowledge of context was an important factor contributing to students’ engagement in statistical tasks. Students used context knowledge in three broad ways: to rationalize the data or their inter...

This paper proposes a novel method for generating a dynamic gait based on anterior-posterior asymmetric impact posture tilting the robot’s center of mass forward. The primary purpose of this method is to asymmetrize the impact posture by actuating the robot’s telescopic-legs to make overcoming the potential barrier at mid-stance easy, and the mechanical energy is accordingly restored. First, we...

The visions of ambient intelligence demand novel interaction paradigms that enable designers and system developers to frame and manage the dynamic and complex interaction between humans and environments populated with physical (real) and virtual (digital) objects of interest. So far, many proposed approaches have adhered to a devicecentric stance when including virtual objects into the ambient ...