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Abstract.  This paper presents arguments in favor of a pseudocleft analysis of a certain class of sentences in Malagasy, despite the lack of an overt wh‐element. It is shown that voice morphology on the verb creates an operator‐variable relationship much like the one created by wh‐movement in free relatives in English and other languages. The bulk of the paper argues in favor of an inversion analysis of specificational pseudoclefts in Malagasy: a predicate DP is fronted to a topic position from within a small clause constituent. Moreover, it is shown that the same inversion occurs in equative and specificational sentences in Malagasy, which suggests that these types of sentences share the same syntactic structure. The proposed analysis also provides support for the view that specificational pseudoclefts have a topic > focus structure, where the wh‐clause has been overtly topicalized.

PurposeThe purpose of this paper is to discuss the notion of "responsibility".Design/methodology/approachDiscussing the notion of "responsibility" according to two main philosophers (Paul Ricoeur and Hans Jonas) and its legal conception.FindingsIn philosophy, the issue of responsibility appears as a second‐level question, thus pointing up the first‐level ones (e.g. action, liberty, causality, autonomy). As such, responsibility necessarily reduces the philosophical field, otherwise the issue becomes unmanageable – if the issue ever was manageable! The concept of responsibility is both recent and fuzzy. The most commonly associated word is obligation. The notion of responsibility raises the problem of its conditions of possibility with the issue of imputation and the binary: imputation and sanction. Self‐referentiality and the circumstances surrounding calculation (of sanctions) are key aspects.Research limitations/implicationsThe question arises: What is hidden behind the notion?Practical implicationsBeware of the performative aspects linked to the notion of "responsibility".Social implicationsThe current meaning of responsibility is embedded in today's political ideology (the "liberal moment").Originality/valueThe paper takes into account the philosophical background of a notion currently used in management.

Text mining is a new branch of AI that employs natural language processing techniques to convert unstructured text into a structured format for easier comprehension. It is becoming increasingly significant in practically every field since it allows users to extract information from large amounts of text or unstructured data. Topic modelling is one of the most important tools in text mining. Topic modelling aids in the discovery of hidden topics, which are the patterns of co-occurring words. Its purpose is to uncover hidden topics in massive amounts of unstructured data. However, because the topics detected are a list of the top n words in a topic, they may not give the viewer with a highly coherent image of the document. As a result, automatic topic labelling has been investigated in order to improve understanding of the topics. In this article we propose a novel method Onto_TML; ontology based auto-labelling for topic modelling algorithms and domain specific CEPS_ontology. Protégé tool is used to design CEPS_Ontology, comprises of four domains: Crime, Environment, Politics and Sports. Onto_TML uses CEPS_Ontology to assign appropriate generic label to the top words generated by topic modelling algorithms. For experimentation we have used two datasets News Headline dataset and News Category V-2 dataset and LDA, NMF and SeaNMF topic modeling algorithms. Empirical evaluation shows that Onto_TML has generated appropriate labels for the top words given by topic modeling algorithms

A primary challenge for digital library systems when digitizing millions of volumes is to automatically analyze and group the huge document collection by categories while identifying patterns and extracting the main themes. A common method to be leveraged on unlabeled texts is topic modeling. Given the wide range of datasets and evaluation criteria used by researchers, comparing the performance and outputs of existing unsupervised algorithms is a complex task. This paper introduces a domain-based topic modeling evaluation applied to Romanian documents. Several variants of Latent Dirichlet Allocation (LDA) combined with dimensionality reduction techniques were compared to Transformer-based models for topic modeling. Experiments were conducted on two datasets of varying text lengths: abstracts of novels and full-text documents. Evaluations were performed against coherence and silhouette scores, while the validation considered classification and clustering tasks. Results highlighted meaningful topics extracted from both datasets.

AbstractTo location Li we are to allocate a "generator" and ni "machines" for i = 1, …,k, where n1 … n1 ≧ … ≧ nk. Although the generators and machines function independently of one another, a machine is operable only if it and the generator at its location are functioning. The problem we consider is that of finding the arrangement or allocation optimizing the number of operable machines. We show that if the objective is to maximize the expected number of operable machines at some future time, then it is best to allocate the best generator and the n1 best machines to location L1, the second‐best generator and the n2‐next‐best machines to location L2, etc. However, this arrangement is not always stochastically optimal. For the case of two generators we give a necessary and sufficient condition that this arrangement is stochastically best, and illustrate the result with several examples.

At first sight, European regions appear to have abundant water resources as they are generally characterised by a temperate climate. Sustainable water practices do not necessarily come as a priority topic of interest as water availability is not commonly perceived as an issue. This is especially the case in a country such as Belgium often described as a rainy country. However, over the last few years, some elements such as the creation of a drought unit in Wallonia, the engagement of the Flemish government in a Blue Deal and restrictions on water use during the summer in multiple Belgian municipalities have brought to the public attention the potential risks of a lack of water. So what is the situation of Belgium in terms of water availability? Should it be a topic of concern? This article intends to shed some light on these questions, with the scientific input of Marnik Vanclooster, Professor and researcher at the Earth of Life Institute at UCLouvain in hydrology and water management, for a better understanding of the Belgian water context.

At first sight, European regions appear to have abundant water resources as they are generally characterised by a temperate climate. Sustainable water practices do not necessarily come as a priority topic of interest as water availability is not commonly perceived as an issue. This is especially the case in a country such as Belgium often described as a rainy country. However, over the last few years, some elements such as the creation of a drought unit in Wallonia, the engagement of the Flemish government in a Blue Deal and restrictions on water use during the summer in multiple Belgian municipalities have brought to the public attention the potential risks of a lack of water. So what is the situation of Belgium in terms of water availability? Should it be a topic of concern? This article intends to shed some light on these questions, with the scientific input of Marnik Vanclooster, Professor and researcher at the Earth of Life Institute at UCLouvain in hydrology and water management, for a better understanding of the Belgian water context.