For many reasons it is advantageous to collect urine separately and collection systems, so called "no-mix-toilets" exist. Therefore, this work deals with some methods to make use of this urine to produce value added products: IBDU and ammonia water. It could be shown that urea can be converted to IBDU only after concentrating urine. With air stripping and absorption ammonificated urine can be t...

Terminological databases do not always provide detailed information on the linguistic behaviour of terms, although this is important for potential users such as translators or students. In this paper we describe a project that aims to fill this gap by proposing a method for annotating terms in sentences based on that developed within the FrameNet project (Ruppenhofer et al. 2010) and by impleme...

The analysis of dialogue act is important for computers to understand natural-language dialogues because the dialogue act of an utterance characterizes the speaker’s intention. In this paper, we create a new model that adapts Conditional Random Field (CRF) with efficient hierarchical representations of the raw inputs to solve the dialogue act recognition problem. The proposed model has two adva...

This paper describes a method aiming to support the design of interactive-safety critical systems. The method proposes an original integration of approaches usually considered separately, such as task modelling and distributed cognition. The basic idea is that analysing task performance requires a clear understanding of the information needed to accomplish the task and how to derive such inform...

This study about the melism stuff (or melodic substance) i s the continuation of previous ones since several years [for instance 1, 2]. Those studies dealing with a global analysis, this present one will examine in details the processes used by 4 speakers to hightlight F0 prominences at the morphophonological level of the melisms. As the major interest of the study lays upon the repetition patt...

The Acquisition of Morphophonology Under a Derivational Theory: A Basic Framework and Simulation Results Ewan Dunbar Department of Linguistics University of Toronto 2008 Since Rumelhart and McClelland 1986, the alternations found in the simple morphophonology of the English past tense have been run through numerous learning algorithms. These algorithms generally perform well at learning these v...

This paper argues that training Generative Adversarial Networks (GANs) on local and non-local dependencies in speech data offers insights into how deep neural networks discretize continuous symbolic-like rule-based morphophonological processes emerge a convolutional architecture. Acquisition of has recently been modeled as dependency between latent space generated by GANs Beguš (2020b), who mod...

This paper describes the system developed at LIF for the SemEval-2016 evaluation campaign. The goal of Task 4.A was to identify sentiment polarity in tweets. The system extends the Convolutional Neural Networks (CNN) state of the art approach. We initialize the input representations with embeddings trained on different units: lexical, partof-speech, and sentiment embeddings. Neural networks for...