Formal languages let us define the textual representation of data with precision. Formal grammars, typically in the form of BNF-like productions, describe the language syntax, which is then annotated for syntax-directed translation and completed with semantic actions. When, apart from the textual representation of data, an explicit representation of the corresponding data structure is required,...

Textual information is of critical importance for automatic user classification in social media. However, most previous studies model textual features in a single perspective while the text in a user homepage typically possesses different styles of text, such as original message and comment from others. In this paper, we propose a novel approach, namely ensemble LSTM, to user classification by ...

This article provides a detailed overview of the CPN text-to-text similarity system that we participated with in the Semantic Textual Similarity task evaluations hosted at *SEM 2013. In addition to more traditional components, such as knowledge-based and corpus-based metrics leveraged in a machine learning framework, we also use opinion analysis features to achieve a stronger semantic represent...

Model-driven engineering is based on the use of models at all stages of the development. In many situations, these models have to be represented so as to be handled by a human being or a specific tool (e.g. a compiler). However, the default representation of models (XMI) is generally not adapted. There is consequently a need for tools enabling the specification of concrete syntaxes for models. ...

Despite showing an overtly simple structure, the semantic process in classic literary-narrative discourse conforms to complicated semiotic systems. As a result, semio-semantics is deemed as one of the most scientific, reliable tools since it helps intradiscursive semio-textual propositions be phenomenologically, and even epistemologically, analyzed. Consequently, the narrative discourse in “The...

In this paper, we propose a novel full-reference objective quality assessment metric of screen content images by structure information. The input screen content image is first divided into textual and pictorial regions. The visual quality of textual regions is predicted based on perceptual structural similarity, where the gradient information is used as the feature. To estimate the visual quali...

Based on Baddeley’s working memory model, this research proposed a method to convert textual information with network relationships into a “graphics + voice” representation and hypothesized that this dual-modal presentation will result in superior comprehension performance and higher satisfaction than pure textual display. A simple T-test experiment was used to test the hypothesis. The independ...

This paper proposes a general learning framework for a class of problems that require learning over latent intermediate representations. Many natural language processing (NLP) decision problems are defined over an expressive intermediate representation that is not explicit in the input, leaving the algorithm with both the task of recovering a good intermediate representation and learning to cla...

In the knowledge representation and reasoning research area, argumentation theory aims at representing and reasoning over information items called arguments. In everyday life, arguments are reasons to believe and reasons to act, and they are usually expressed in natural language. Even if ad-hoc natural language examples are often provided in argumentation theory works, no automated processing o...