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Enterprise Modeling Languages (EMLs) are generally perceived as conceptual modeling languages having a formal syntax and informal semantics. The non-formality of semantics is mainly caused by the materiality of the addressed domain (enterprises and its related aspects) and the resulting personal interpretation of syntactical constructs. However, EMLs may also explicitly define invariant interpretations...
While there is an increased appreciation for integrating haptic feedback with audio-visual content, there is still a lack of understanding of how to quantify the added value of touch for a user's experience (UX) of multimedia content. Here we focus on three main concepts to measure this added value: UX, emotions, and expectations. We present a case study measuring the added value of haptic feedback...
This paper takes a view on the Quality-of-Experience (QoE) perspective of Cyber-Physical System (CpS) applications involving users. We provide an overview of characteristics of CPS applications, their relation to QoE and implications for assessing QoE of such systems. Furthermore, we incorporate eudaimonic aspects such as meaningfulness and personal growth that need to be considered in order to grasp...
Current research, in Natural Language Processing, shows more interest in the under-resourced languages, during last years. Amazigh language is the autochthon language of North Africa. However, until 2011 that it became a constitutionally official language in Morocco, after years of persecution. Amazigh language is still considered as one of the under resourced languages. The question is: “how can...
Swearing is a prevalent phenomenon, in regular conversations as well as on social media. Whether multilinguals have a preference for a language while swearing and if so, what factors influence it, is an interesting question that has intrigued linguists, but large scale studies of multilingual swearing behavior has been impossible due to unavailability of data. In this study with English and Romanized...
The number of sensors deployed at each and every place is growing at a faster rate to meet the current needs of modern society. The uninterrupted huge amount of data generated from sensors and other devices in Internet of Things (IoT) is to be captured and inferred into meaningful information. Context-aware computing is one of the key research issues in IoT paradigm and it is evident that it is successful...
Automatic and spontaneous speech emotion recognition is an important part of a human-computer interactive system. However, emotion identification in spontaneous speech is difficult because most often the emotion expressed by the speaker are not necessarily as prominent as in acted speech. In this paper, we propose a spontaneous speech emotion recognition framework that makes use of the associated...
Morphological analysis is an essential step for processing the Korean language, due to highly agglutinative properties of the language. In this paper, we propose a novel approach for constructing a Korean morphological analyzer that can capture linguistic properties using graphemes as basic processing units. Since our model does not utilize prior linguistic knowledge, the model can be applied to other...
lexiDB is a scalable corpus database management system designed to fulfill corpus linguistics retrieval queries on multi-billion-word multiply-annotated corpora. It is based on a distributed architecture that allows the system to scale out to support ever larger text collections. This paper presents an overview of the architecture behind lexiDB as well as a demonstration of its functionality. We present...
This article reviews the state of archival science where basic concepts have been subject to a long stream of criticisms without satisfactory resolution of the issues identified. It establishes a ground for progress by articulating criteria for evaluating archival concepts and proposes a path forward by enriching archival science with concepts and methods from systemic functional linguistics and graph...
Product reviews contain a lot of useful information about product features and customer opinions. One important product feature is the complementary entity (products) that may potentially work together with the reviewed product. Knowing complementary entities of the reviewed product is very important because customers want to buy compatible products and avoid incompatible ones. In this paper, we address...
Using speech or text to predict articulatory movements can have potential benefits for speech related applications. Many approaches have been proposed to solve the acoustic-to-articulatory inversion problem, which is much more than the exploration for predicting articulatory movements from text. In this paper, we investigate the feasibility of using deep neural network (DNN) for articulartory movement...
Selecting the most adapted alternative for a new project is a challenging problem because it contains a lot of uncertainty due to lack of information. Moreover, better decision making processes still need to be proposed to help decision makers to select the most effective solution among several alternatives. Although different methods and tools have been developed for this purpose, there is still...
In this paper the systems submitted by the joint team of Dublin City University and National Taiwan University to the IALP 2016 Shared Task: Dimensional Sentiment Analysis for Chinese Words are presented. The systems learn the vector representation using Word2Vec algorithm for each Chinese word for sentiment analysis. The corpus used for the calculation of vector representation is 5 years (2006 to...
Attributes are the way we describe the world. A simple classification on attributes' object host or event host is not enough for explaining appearance of both object attributes and event attributes. Thus we propose a presentation and explanation for attributes which introduce single and group host criterion for object attributes and linguistic valence for event attributes. Especially, we argue that...
Grammar has always occupied an important area in teaching Chinese as a foreign language, and is considered foundational to communication. However, grammar only can represent fragments of thoughts, and the complete communication of ideas must be based on grammatical structure. As such, Chinese grammatical structure is foundational to learning the language. In teaching materials, grammar lessons should...
In this paper, we try to exploit the semantic richness of Arabic language for Information Retrieval (IR). The semantics of Arabic words may be extracted from dictionaries or corpora, which are analyzed and minded using Natural Language Processing (NLP) and text mining tools. This allows modeling the contextual dependencies between words, which help identify the meaning of queries in the search process...
In recent years, the fast growth of Web pages and the constant evolution of internet technologies have lead to a significant increase in the number of pedagogical resources. Thus, the indexing and search problems have become crucial. To overcome this problem, it was proposed to use information coming from the norms and standards of educational metadata. However, this solution does not solve completely...
Research abstract is a text of foremost importance to students of science and engineering. However, explicit teaching of it tends to be missing in EGP and EGAP curricula of general Japanese English education. This paper reports the evaluation of abstracts written by 3rd-year students in an undergraduate ESP course at a Japanese university of science and engineering. At first, students were taught...
This paper describes a new kind of knowledge representation and mining system which we are calling the Semantic Knowledge Graph. At its heart, the Semantic Knowledge Graph leverages an inverted index, along with a complementary uninverted index, to represent nodes (terms) and edges (the documents within intersecting postings lists for multiple terms/nodes). This provides a layer of indirection between...
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