Clafer: Lightweight Modeling of Structure, Behaviour, and Variability [PDF]
, 2018 Embedded software is growing fast in size and complexity, leading to intimate mixture of complex architectures and complex control. Consequently, software specification requires modeling both structures and behaviour of systems.
Antkiewicz, Michal +5 more
core +2 more sources
Adaptation of the DFD technology in the modeling of business systems in the environment of RDS
Открытое образование (Москва), 2019 The article is devoted to the description of structural methods of processes modeling, represented by visual languages of business processes modeling of socio-economic systems, designed not only for static functional/information modeling of processes ...
G. N. Kalyanov +2 more
doaj +1 more source
Enhancing declarative process models with DMN decision logic [PDF]
, 2015 Modeling dynamic, human-centric, non-standardized and knowledge-intensive business processes with imperative process modeling approaches is very challenging.
D Borrego +6 more
core +2 more sources
Joint morphological-lexical language modeling for processing morphologically rich languages with application to dialectal Arabic [PDF]
, 2007 Language modeling for an inflected language such as Arabic poses new challenges for speech recognition and machine translation due to its rich morphology.
Afify, Mohamed +6 more
core +2 more sources
Analysis of Intelligent Transportation Systems Using Model-Driven Simulations
Sensors, 2015 Intelligent Transportation Systems (ITSs) integrate information, sensor, control, and communication technologies to provide transport related services. Their users range from everyday commuters to policy makers and urban planners. Given the complexity of
Alberto Fernández-Isabel +1 more
doaj +1 more source
Recurrent Memory Networks for Language Modeling [PDF]
, 2016 Recurrent Neural Networks (RNN) have obtained excellent result in many natural language processing (NLP) tasks. However, understanding and interpreting the source of this success remains a challenge.
Bisazza, Arianna +2 more
core +2 more sources
Modelling Interleaved Activities Using Language Models
ECMS 2020 Proceedings edited by Mike Steglich, Christian Mueller, Gaby Neumann, Mathias Walther, 2020 We propose a new approach to activity discovery, based on the neural language modelling of streaming sensor events. Our approach proceeds in multiple stages: we build binary links between activities using probability distributions generated by a neural language model trained on the dataset, and combine the binary links to produce complex activities. We
Rogers, Eoin +2 more
openaire +3 more sources
Peirce, Sebeok, and the Semiotic Reformation on Contemporary Communications [PDF]
Studia Gilsoniana, 2018 Language in a broad sense becomes imperative for communication to ensue. Language considered as a system of signs and signification is achieved through a process involving sign relations, e.g. semiosis. Charles S.
Maria Asuncion L. Magsino
doaj +1 more source
When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting [PDF]
Journal of Universal Computer Science, 2022 In 2018, Mikolov et al. introduced the positional language model, which has characteristics of attention-based neural machine translation models and which achieved state-of-the-art performance on the intrinsic word analogy task.
Vít Novotný +4 more
doaj +3 more sources